Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
4488
Single Precision Score
2024
Half Precision Score
8364
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 23 2025 12:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D77 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-A WIFI (MS-7D77) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3545
659.3 IPS |
|
|
Image Classification (HP)
|
100% |
826
153.6 IPS |
|
|
Image Classification (Q)
|
99% |
8114
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2162
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1057
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3995
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6467
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
5368
6.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
23310
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
3377
267.8 IPS |
|
|
Object Detection (HP)
|
100% |
977
77.5 IPS |
|
|
Object Detection (Q)
|
86% |
8490
682.4 IPS |
|
|
Face Detection (SP)
|
100% |
7745
92.0 IPS |
|
|
Face Detection (HP)
|
100% |
2203
26.2 IPS |
|
|
Face Detection (Q)
|
97% |
10529
125.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8826
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2925
22.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17303
138.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16559
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13733
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
28924
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3103
114.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2645
97.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4503
166.7 IPS |
|
|
Text Classification (SP)
|
100% |
2015
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1053
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
2277
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2799
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4836
97.2 IPS |
