Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
4040
Single Precision Score
1914
Half Precision Score
6999
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 31 2025 07:33 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650-S WIFI (MS-7E26) |
| Power Plan | High performance |
| 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% |
3418
635.7 IPS |
|
|
Image Classification (HP)
|
100% |
751
139.7 IPS |
|
|
Image Classification (Q)
|
99% |
8213
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1013
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4031
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5117
5.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
4919
5.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
22150
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
2926
232.1 IPS |
|
|
Object Detection (HP)
|
100% |
891
70.6 IPS |
|
|
Object Detection (Q)
|
86% |
5971
479.9 IPS |
|
|
Face Detection (SP)
|
100% |
6961
82.7 IPS |
|
|
Face Detection (HP)
|
100% |
2081
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
10359
123.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6999
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2742
21.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
16021
127.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14023
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11369
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
27398
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2332
86.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2098
77.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5672
210.0 IPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1164
1.55 KIPS |
|
|
Text Classification (Q)
|
97% |
542
726.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2915
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4611
92.7 IPS |
