Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
4130
Single Precision Score
1861
Half Precision Score
7759
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 05:39 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% |
3420
636.1 IPS |
|
|
Image Classification (HP)
|
100% |
734
136.5 IPS |
|
|
Image Classification (Q)
|
99% |
7511
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
992
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3574
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5692
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
4711
5.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
21247
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
2941
233.2 IPS |
|
|
Object Detection (HP)
|
100% |
934
74.1 IPS |
|
|
Object Detection (Q)
|
86% |
7888
634.0 IPS |
|
|
Face Detection (SP)
|
100% |
7504
89.2 IPS |
|
|
Face Detection (HP)
|
100% |
2071
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
9706
115.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7800
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2709
20.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
16064
128.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15311
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12123
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
27820
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2822
104.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2590
95.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4364
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
1899
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
954
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2072
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2663
45.9 IPS |
|
|
Machine Translation (HP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4485
90.1 IPS |
