Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
3388
Single Precision Score
1644
Half Precision Score
7668
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 11:39 AM |
| Views | 2 |
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% |
3485
648.2 IPS |
|
|
Image Classification (HP)
|
100% |
720
133.8 IPS |
|
|
Image Classification (Q)
|
99% |
8116
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1012
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3974
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4806
5.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
4055
4.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
21432
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
2724
216.1 IPS |
|
|
Object Detection (HP)
|
100% |
843
66.9 IPS |
|
|
Object Detection (Q)
|
86% |
8523
685.0 IPS |
|
|
Face Detection (SP)
|
100% |
5525
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
1960
23.3 IPS |
|
|
Face Detection (Q)
|
97% |
9359
111.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4484
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2267
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
14143
112.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11671
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9392
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24659
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1943
71.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1767
65.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4064
150.5 IPS |
|
|
Text Classification (SP)
|
100% |
1534
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
903
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
2017
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2335
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
874
15.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4464
89.7 IPS |
