Micro-Star International Co., Ltd. MS-7E77
Geekbench AI Score
5734
Single Precision Score
2570
Half Precision Score
11861
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 12:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E77 |
| Motherboard | Micro-Star International Co., Ltd. PRO B840M-P WIFI6E (MS-7E77) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5458
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
957
178.0 IPS |
|
|
Image Classification (Q)
|
99% |
11837
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13357
217.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9438
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7512
8.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
35588
41.7 IPS |
|
|
Object Detection (SP)
|
100% |
4603
365.1 IPS |
|
|
Object Detection (HP)
|
100% |
1204
95.5 IPS |
|
|
Object Detection (Q)
|
86% |
12078
970.7 IPS |
|
|
Face Detection (SP)
|
100% |
7432
88.3 IPS |
|
|
Face Detection (HP)
|
100% |
2386
28.3 IPS |
|
|
Face Detection (Q)
|
97% |
12879
153.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10629
81.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3420
26.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
23836
190.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21388
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17106
22.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29104
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3818
141.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3556
131.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5828
215.8 IPS |
|
|
Text Classification (SP)
|
100% |
3054
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1421
1.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2439
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4197
72.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1341
23.1 IPS |
|
|
Machine Translation (Q)
|
65% |
6390
128.4 IPS |
