Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
4359
Single Precision Score
1937
Half Precision Score
8129
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 22 2025 08:36 AM |
| Views | 4 |
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-7E30 |
| Motherboard | Micro-Star International Co., Ltd. B650M BOMBER WIFI (MS-7E30) |
| Power Plan | Balanced |
| 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% |
3566
663.1 IPS |
|
|
Image Classification (HP)
|
100% |
760
141.4 IPS |
|
|
Image Classification (Q)
|
99% |
8006
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1034
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3928
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5999
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
5112
5.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
22515
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
3181
252.3 IPS |
|
|
Object Detection (HP)
|
100% |
921
73.1 IPS |
|
|
Object Detection (Q)
|
86% |
8515
684.3 IPS |
|
|
Face Detection (SP)
|
100% |
7339
87.2 IPS |
|
|
Face Detection (HP)
|
100% |
2159
25.7 IPS |
|
|
Face Detection (Q)
|
97% |
10154
121.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8330
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2753
21.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
16419
131.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15971
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12866
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26631
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3238
119.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2492
92.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4391
162.6 IPS |
|
|
Text Classification (SP)
|
100% |
2007
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1056
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
2266
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2700
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4734
95.1 IPS |
