Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
1841
Single Precision Score
910
Half Precision Score
1884
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | April 30 2025 05:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550 TOMAHAWK (MS-7C91) |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
980
182.2 IPS |
|
|
Image Classification (HP)
|
100% |
327
60.8 IPS |
|
|
Image Classification (Q)
|
96% |
1580
295.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
820
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
453
7.35 IPS |
|
|
Image Segmentation (Q)
|
97% |
1275
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3711
4.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2937
3.43 IPS |
|
|
Pose Estimation (Q)
|
87% |
4980
5.88 IPS |
|
|
Object Detection (SP)
|
100% |
1221
96.8 IPS |
|
|
Object Detection (HP)
|
100% |
423
33.6 IPS |
|
|
Object Detection (Q)
|
86% |
942
75.7 IPS |
|
|
Face Detection (SP)
|
100% |
2004
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
994
11.8 IPS |
|
|
Face Detection (Q)
|
96% |
2715
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4062
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1399
10.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
3690
29.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8730
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7091
9.12 IPS |
|
|
Style Transfer (Q)
|
87% |
9492
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1333
49.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1240
45.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1576
58.4 IPS |
|
|
Text Classification (SP)
|
100% |
1007
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
392
523.0 IPS |
|
|
Text Classification (Q)
|
97% |
306
410.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
443
7.62 IPS |
|
|
Machine Translation (Q)
|
60% |
1302
29.0 IPS |
