Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
3901
Single Precision Score
1898
Half Precision Score
7654
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 10 2025 09:42 AM |
| Views | 5 |
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% |
3171
589.8 IPS |
|
|
Image Classification (HP)
|
100% |
753
140.0 IPS |
|
|
Image Classification (Q)
|
99% |
7378
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1008
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3452
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5943
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4976
5.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
22104
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
3169
251.4 IPS |
|
|
Object Detection (HP)
|
100% |
910
72.2 IPS |
|
|
Object Detection (Q)
|
86% |
7549
606.7 IPS |
|
|
Face Detection (SP)
|
100% |
4966
59.0 IPS |
|
|
Face Detection (HP)
|
100% |
2050
24.4 IPS |
|
|
Face Detection (Q)
|
97% |
9794
116.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7959
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2882
22.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
16714
133.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16246
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12265
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27280
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3116
115.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2677
98.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4267
158.0 IPS |
|
|
Text Classification (SP)
|
100% |
2035
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
996
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
2189
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2657
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
914
15.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3897
78.3 IPS |
