Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
4965
Single Precision Score
2191
Half Precision Score
10802
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 17 2025 08:32 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650-S WIFI (MS-7E26) |
| Power Plan | Balansert |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3932
731.2 IPS |
|
|
Image Classification (HP)
|
100% |
823
153.1 IPS |
|
|
Image Classification (Q)
|
99% |
10788
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2197
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1206
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10718
174.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7612
8.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
6241
7.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
32345
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
3600
285.6 IPS |
|
|
Object Detection (HP)
|
100% |
1062
84.2 IPS |
|
|
Object Detection (Q)
|
86% |
10496
843.6 IPS |
|
|
Face Detection (SP)
|
100% |
7378
87.7 IPS |
|
|
Face Detection (HP)
|
100% |
2040
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
11688
139.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10159
78.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2979
23.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
21730
173.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17658
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14447
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29500
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3170
117.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2948
108.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6151
227.8 IPS |
|
|
Text Classification (SP)
|
100% |
2653
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1311
1.75 KIPS |
|
|
Text Classification (Q)
|
97% |
2141
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3455
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1146
19.7 IPS |
|
|
Machine Translation (Q)
|
65% |
5585
112.2 IPS |
