Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
2631
Single Precision Score
1105
Half Precision Score
2971
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | techidiot |
| Upload Date | March 23 2025 03:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. B550-A PRO (MS-7C56) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1997
371.4 IPS |
|
|
Image Classification (HP)
|
100% |
395
73.5 IPS |
|
|
Image Classification (Q)
|
96% |
3117
582.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
967
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
467
7.57 IPS |
|
|
Image Segmentation (Q)
|
97% |
1624
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5410
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
4214
4.92 IPS |
|
|
Pose Estimation (Q)
|
86% |
6972
8.24 IPS |
|
|
Object Detection (SP)
|
100% |
1929
153.0 IPS |
|
|
Object Detection (HP)
|
100% |
501
39.7 IPS |
|
|
Object Detection (Q)
|
58% |
2089
228.2 IPS |
|
|
Face Detection (SP)
|
100% |
4401
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
1125
13.4 IPS |
|
|
Face Detection (Q)
|
96% |
6131
73.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6183
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1742
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7331
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12678
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10276
13.2 IPS |
|
|
Style Transfer (Q)
|
87% |
13760
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1469
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1787
66.2 IPS |
|
|
Text Classification (SP)
|
100% |
936
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
451
602.4 IPS |
|
|
Text Classification (Q)
|
97% |
354
474.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1581
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
527
9.07 IPS |
|
|
Machine Translation (Q)
|
68% |
1863
36.0 IPS |
