ASUS WS X299 PRO/SE Trident Z Neo System manufacturer System Product Name
Geekbench AI Score
8095
Single Precision Score
8072
Half Precision Score
9854
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | Marina |
| Upload Date | April 19 2025 04:24 PM |
| Views | 9 |
| Notes | Trident Z Neo DDR4-3200 CL16-18-18-38 1.35V 256GB (8x32GB) F4-3200C16Q2-256GTZN Intel Core i9 7960X |
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% |
4900
911.2 IPS |
|
|
Image Classification (HP)
|
100% |
4722
878.1 IPS |
|
|
Image Classification (Q)
|
100% |
6125
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7365
119.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7396
119.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9237
150.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14498
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14852
17.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
19671
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
4474
354.9 IPS |
|
|
Object Detection (HP)
|
100% |
4680
371.2 IPS |
|
|
Object Detection (Q)
|
87% |
6744
540.9 IPS |
|
|
Face Detection (SP)
|
100% |
12256
145.6 IPS |
|
|
Face Detection (HP)
|
100% |
12296
146.1 IPS |
|
|
Face Detection (Q)
|
97% |
19405
231.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13434
103.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13725
105.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
18477
145.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42155
54.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39019
50.2 IPS |
|
|
Style Transfer (Q)
|
98% |
49763
64.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8015
295.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7917
292.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9912
367.2 IPS |
|
|
Text Classification (SP)
|
100% |
2451
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (Q)
|
91% |
1713
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3789
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3771
65.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3799
65.4 IPS |
