Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
3228
Single Precision Score
5212
Half Precision Score
2475
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 11:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 740M Graphics |
| 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 8500G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 120 Stepping 0 |
| Base Frequency | 3.55 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1312
243.9 IPS |
|
|
Image Classification (HP)
|
100% |
2067
384.4 IPS |
|
|
Image Classification (Q)
|
100% |
1203
223.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1292
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11806
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30091
35.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
11529
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1136
90.1 IPS |
|
|
Object Detection (HP)
|
100% |
1600
126.9 IPS |
|
|
Object Detection (Q)
|
87% |
995
79.9 IPS |
|
|
Face Detection (SP)
|
100% |
2692
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
4541
54.0 IPS |
|
|
Face Detection (Q)
|
97% |
2228
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6725
51.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10215
78.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
5253
42.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25170
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41330
53.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18222
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4978
183.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10299
380.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3043
112.7 IPS |
|
|
Text Classification (SP)
|
100% |
1557
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2647
3.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1151
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1646
28.4 IPS |
|
|
Machine Translation (Q)
|
70% |
648
12.2 IPS |
