Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
4430
Single Precision Score
1987
Half Precision Score
8368
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 11:19 AM |
| Views | 2 |
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% |
3721
692.0 IPS |
|
|
Image Classification (HP)
|
100% |
805
149.7 IPS |
|
|
Image Classification (Q)
|
99% |
8102
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1054
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3974
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6208
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
5118
5.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
23344
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
3333
264.4 IPS |
|
|
Object Detection (HP)
|
100% |
965
76.5 IPS |
|
|
Object Detection (Q)
|
86% |
8446
678.8 IPS |
|
|
Face Detection (SP)
|
100% |
7611
90.4 IPS |
|
|
Face Detection (HP)
|
100% |
2171
25.8 IPS |
|
|
Face Detection (Q)
|
97% |
10277
122.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7947
61.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2786
21.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17547
140.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16132
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12914
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
28673
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3076
113.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2732
100.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4592
170.0 IPS |
|
|
Text Classification (SP)
|
100% |
2016
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1038
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
2275
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2827
48.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4914
98.7 IPS |
