Micro-Star International Co., Ltd. MS-7C60
Geekbench AI Score
1266
Single Precision Score
641
Half Precision Score
2379
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | GT-Avalanche |
| Upload Date | February 21 2025 03:02 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 3970X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows11 ducation (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C60 |
| Motherboard | Micro-Star International Co., Ltd. TRX40 PRO WIFI (MS-7C60) |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3970X |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
668
124.3 IPS |
|
|
Image Classification (HP)
|
100% |
219
40.7 IPS |
|
|
Image Classification (Q)
|
96% |
1928
360.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
547
8.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (Q)
|
97% |
1421
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5534
6.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2662
3.11 IPS |
|
|
Pose Estimation (Q)
|
86% |
11681
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
667
52.9 IPS |
|
|
Object Detection (HP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (Q)
|
58% |
1556
170.0 IPS |
|
|
Face Detection (SP)
|
100% |
1324
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
590
7.01 IPS |
|
|
Face Detection (Q)
|
96% |
3344
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2445
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1138
8.77 IPS |
|
|
Depth Estimation (Q)
|
78% |
4030
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8843
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7700
9.90 IPS |
|
|
Style Transfer (Q)
|
87% |
9081
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
858
31.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
704
26.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1130
41.9 IPS |
|
|
Text Classification (SP)
|
100% |
522
697.2 IPS |
|
|
Text Classification (HP)
|
100% |
238
317.3 IPS |
|
|
Text Classification (Q)
|
97% |
668
894.9 IPS |
|
|
Machine Translation (SP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.68 IPS |
|
|
Machine Translation (Q)
|
68% |
1267
24.5 IPS |
