ASUS WS X299 PRO/SE Intel Core i9 7960X System manufacturer System Product Name
Geekbench AI Score
4615
Single Precision Score
1223
Half Precision Score
4832
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | Marina |
| Upload Date | April 22 2025 05:54 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 | ONNX |
| Backend | CPU |
| Device | Intel Core i9-7960X |
| 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% |
4088
760.2 IPS |
|
|
Image Classification (HP)
|
100% |
303
56.4 IPS |
|
|
Image Classification (Q)
|
96% |
5171
965.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1371
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (Q)
|
97% |
1954
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13831
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8822
10.3 IPS |
|
|
Pose Estimation (Q)
|
86% |
20178
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
3779
299.7 IPS |
|
|
Object Detection (HP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (Q)
|
58% |
4023
439.6 IPS |
|
|
Face Detection (SP)
|
100% |
7787
92.5 IPS |
|
|
Face Detection (HP)
|
100% |
1023
12.2 IPS |
|
|
Face Detection (Q)
|
96% |
7895
94.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13324
102.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1424
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11819
94.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26509
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18583
23.9 IPS |
|
|
Style Transfer (Q)
|
87% |
21250
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3102
114.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2132
78.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2283
84.6 IPS |
|
|
Text Classification (SP)
|
100% |
1078
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
477
637.0 IPS |
|
|
Text Classification (Q)
|
97% |
857
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1629
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
424
7.30 IPS |
|
|
Machine Translation (Q)
|
68% |
2181
42.1 IPS |
