Micro-Star International Co., Ltd. MS-7C60
Geekbench AI Score
2787
Single Precision Score
980
Half Precision Score
3611
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | GT-Avalanche |
| Upload Date | February 25 2025 03:58 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 3970X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (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 | 4.15 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1771
329.3 IPS |
|
|
Image Classification (HP)
|
100% |
321
59.7 IPS |
|
|
Image Classification (Q)
|
96% |
3132
584.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1013
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
419
6.80 IPS |
|
|
Image Segmentation (Q)
|
97% |
2023
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16353
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5694
6.64 IPS |
|
|
Pose Estimation (Q)
|
86% |
14214
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1905
151.1 IPS |
|
|
Object Detection (HP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (Q)
|
58% |
2675
292.3 IPS |
|
|
Face Detection (SP)
|
100% |
3755
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
889
10.6 IPS |
|
|
Face Detection (Q)
|
96% |
6373
76.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7537
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1688
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
8626
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19350
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14574
18.7 IPS |
|
|
Style Transfer (Q)
|
87% |
18023
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1138
42.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1398
51.8 IPS |
|
|
Text Classification (SP)
|
100% |
631
842.0 IPS |
|
|
Text Classification (HP)
|
100% |
309
412.3 IPS |
|
|
Text Classification (Q)
|
97% |
720
964.4 IPS |
|
|
Machine Translation (SP)
|
100% |
918
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
349
6.02 IPS |
|
|
Machine Translation (Q)
|
68% |
1573
30.4 IPS |
