Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
4157
Single Precision Score
1925
Half Precision Score
8838
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | January 20 2026 11:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. B650 GAMING PLUS WIFI (MS-7E26) |
| Power Plan | Balanced |
| 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% |
3173
590.0 IPS |
|
|
Image Classification (HP)
|
100% |
759
141.1 IPS |
|
|
Image Classification (Q)
|
99% |
7725
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2020
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1011
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8690
141.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5496
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
4815
5.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
21893
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
2883
228.7 IPS |
|
|
Object Detection (HP)
|
100% |
906
71.8 IPS |
|
|
Object Detection (Q)
|
86% |
7786
625.8 IPS |
|
|
Face Detection (SP)
|
100% |
7879
93.6 IPS |
|
|
Face Detection (HP)
|
100% |
2094
24.9 IPS |
|
|
Face Detection (Q)
|
97% |
10029
119.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7216
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2633
20.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
16600
132.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15169
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12307
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27886
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2581
95.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2422
89.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5530
204.8 IPS |
|
|
Text Classification (SP)
|
100% |
2175
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
1077
1.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1893
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3136
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (Q)
|
65% |
5233
105.1 IPS |
