Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
3772
Single Precision Score
1728
Half Precision Score
7092
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Nickayz |
| Upload Date | July 26 2025 12:22 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. B650 GAMING PLUS WIFI (MS-7E26) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2988
555.7 IPS |
|
|
Image Classification (HP)
|
100% |
693
128.9 IPS |
|
|
Image Classification (Q)
|
99% |
5596
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1558
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
795
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3002
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3680
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3320
3.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
13581
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2997
237.7 IPS |
|
|
Object Detection (HP)
|
100% |
889
70.5 IPS |
|
|
Object Detection (Q)
|
86% |
8179
657.3 IPS |
|
|
Face Detection (SP)
|
100% |
7093
84.3 IPS |
|
|
Face Detection (HP)
|
100% |
2046
24.3 IPS |
|
|
Face Detection (Q)
|
97% |
9759
116.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7634
58.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2707
20.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
16860
134.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14922
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12335
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26163
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2591
95.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2450
90.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3883
143.8 IPS |
|
|
Text Classification (SP)
|
100% |
1795
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
919
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2023
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3024
52.1 IPS |
|
|
Machine Translation (HP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (Q)
|
65% |
5102
102.5 IPS |
