Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
5307
Single Precision Score
2214
Half Precision Score
8988
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 09:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 |
| 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 GAMING WIFI (MS-7E30) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4471
831.5 IPS |
|
|
Image Classification (HP)
|
100% |
831
154.6 IPS |
|
|
Image Classification (Q)
|
99% |
9129
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1139
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4239
68.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8343
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
6891
8.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
28513
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
4201
333.2 IPS |
|
|
Object Detection (HP)
|
100% |
1068
84.7 IPS |
|
|
Object Detection (Q)
|
86% |
9331
749.9 IPS |
|
|
Face Detection (SP)
|
100% |
8648
102.8 IPS |
|
|
Face Detection (HP)
|
100% |
2325
27.6 IPS |
|
|
Face Detection (Q)
|
97% |
11192
133.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10943
84.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3273
25.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
19952
159.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20465
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16023
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30110
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3727
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3210
118.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4763
176.4 IPS |
|
|
Text Classification (SP)
|
100% |
2177
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1026
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2243
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3001
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4655
93.5 IPS |
