System manufacturer System Product Name
Geekbench AI Score
3766
Single Precision Score
1051
Half Precision Score
4256
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | Marina |
| Upload Date | April 18 2025 07:02 PM |
| Views | 2 |
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% |
2570
478.0 IPS |
|
|
Image Classification (HP)
|
100% |
258
48.0 IPS |
|
|
Image Classification (Q)
|
96% |
4207
785.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
518
8.40 IPS |
|
|
Image Segmentation (Q)
|
97% |
2171
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10574
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
7139
8.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
16187
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2985
236.8 IPS |
|
|
Object Detection (HP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (Q)
|
58% |
3552
388.1 IPS |
|
|
Face Detection (SP)
|
100% |
6749
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
882
10.5 IPS |
|
|
Face Detection (Q)
|
96% |
7067
84.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10695
82.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1201
9.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
9997
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22115
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14075
18.1 IPS |
|
|
Style Transfer (Q)
|
87% |
18255
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2580
95.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1946
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2118
78.5 IPS |
|
|
Text Classification (SP)
|
100% |
935
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
413
550.7 IPS |
|
|
Text Classification (Q)
|
97% |
727
973.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1456
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.90 IPS |
|
|
Machine Translation (Q)
|
68% |
1874
36.2 IPS |
