ASUS WS X299 PRO/SE Intel Core i9 7960X System manufacturer System Product Name
Geekbench AI Score
8901
Single Precision Score
8957
Half Precision Score
11600
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | Marina |
| Upload Date | April 22 2025 05:56 PM |
| Views | 5 |
| Notes | Intel Core i9 7960X Trident Z Neo DDR4-3200 CL16-18-18-38 1.35V 256GB (8x32GB) F4-3200C16Q2-256GTZN ASUS WS X299 PRO/SE AMD Radeon RX 5700 Bios opencore gthub x299 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-7960X CPU @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel pour les Stations de travail (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. WS X299 PRO_SE |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel Core i9-7960X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5135
955.0 IPS |
|
|
Image Classification (HP)
|
100% |
5424
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
6637
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8009
129.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8068
130.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10472
170.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17149
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16314
19.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
26457
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
5225
414.5 IPS |
|
|
Object Detection (HP)
|
100% |
5204
412.8 IPS |
|
|
Object Detection (Q)
|
87% |
7651
613.6 IPS |
|
|
Face Detection (SP)
|
100% |
13307
158.1 IPS |
|
|
Face Detection (HP)
|
100% |
12923
153.6 IPS |
|
|
Face Detection (Q)
|
97% |
22590
269.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15205
117.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15210
117.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
21194
167.1 IPS |
|
|
Style Transfer (SP)
|
100% |
47463
61.0 IPS |
|
|
Style Transfer (HP)
|
100% |
46794
60.2 IPS |
|
|
Style Transfer (Q)
|
98% |
69734
89.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8958
330.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9245
341.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12442
460.9 IPS |
|
|
Text Classification (SP)
|
100% |
2678
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2643
3.53 KIPS |
|
|
Text Classification (Q)
|
91% |
1838
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3680
63.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3985
68.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4107
70.7 IPS |
