System manufacturer System Product Name
Geekbench AI Score
3808
Single Precision Score
1051
Half Precision Score
3683
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | Marina |
| Upload Date | March 18 2025 05:22 PM |
| Views | 16 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3090
574.6 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.8 IPS |
|
|
Image Classification (Q)
|
96% |
4255
794.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
513
8.32 IPS |
|
|
Image Segmentation (Q)
|
97% |
1956
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11154
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7344
8.57 IPS |
|
|
Pose Estimation (Q)
|
86% |
16722
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3065
243.1 IPS |
|
|
Object Detection (HP)
|
100% |
366
29.0 IPS |
|
|
Object Detection (Q)
|
58% |
3016
329.6 IPS |
|
|
Face Detection (SP)
|
100% |
7023
83.4 IPS |
|
|
Face Detection (HP)
|
100% |
912
10.8 IPS |
|
|
Face Detection (Q)
|
96% |
6584
78.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10386
80.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1227
9.45 IPS |
|
|
Depth Estimation (Q)
|
78% |
10247
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20083
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13451
17.3 IPS |
|
|
Style Transfer (Q)
|
87% |
18172
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2274
84.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1893
69.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2135
79.1 IPS |
|
|
Text Classification (SP)
|
100% |
909
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
399
532.6 IPS |
|
|
Text Classification (Q)
|
97% |
259
346.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1516
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
403
6.94 IPS |
|
|
Machine Translation (Q)
|
68% |
1615
31.2 IPS |
