Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
5016
Single Precision Score
2224
Half Precision Score
9175
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 26 2025 08:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700X |
| 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 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2879
535.3 IPS |
|
|
Image Classification (HP)
|
100% |
855
159.0 IPS |
|
|
Image Classification (Q)
|
99% |
9436
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1834
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1074
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3288
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8022
9.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
7091
8.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
30384
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
4508
357.6 IPS |
|
|
Object Detection (HP)
|
100% |
1071
84.9 IPS |
|
|
Object Detection (Q)
|
86% |
9804
787.9 IPS |
|
|
Face Detection (SP)
|
100% |
9784
116.3 IPS |
|
|
Face Detection (HP)
|
100% |
2054
24.4 IPS |
|
|
Face Detection (Q)
|
97% |
11925
142.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10005
77.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3294
25.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
21218
169.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21661
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
17207
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
34307
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3407
125.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3443
127.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4996
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1053
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
2245
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3181
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4700
94.4 IPS |
