Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
3657
Single Precision Score
1723
Half Precision Score
7867
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 02:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| 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 | 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% |
3182
591.8 IPS |
|
|
Image Classification (HP)
|
100% |
728
135.4 IPS |
|
|
Image Classification (Q)
|
99% |
7815
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2052
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
959
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3809
61.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5235
6.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
4447
5.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
21449
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
2904
230.4 IPS |
|
|
Object Detection (HP)
|
100% |
874
69.3 IPS |
|
|
Object Detection (Q)
|
86% |
8440
678.3 IPS |
|
|
Face Detection (SP)
|
100% |
6415
76.2 IPS |
|
|
Face Detection (HP)
|
100% |
2079
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
10678
127.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7023
54.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2564
19.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
15761
125.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10735
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8957
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23660
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1857
68.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2048
75.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3955
146.5 IPS |
|
|
Text Classification (SP)
|
100% |
1774
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
918
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2139
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2712
46.7 IPS |
|
|
Machine Translation (HP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (Q)
|
65% |
5006
100.6 IPS |
