Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
3409
Single Precision Score
5332
Half Precision Score
2593
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 15 2025 10:31 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% |
1311
243.8 IPS |
|
|
Image Classification (HP)
|
100% |
2089
388.5 IPS |
|
|
Image Classification (Q)
|
100% |
1226
228.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1771
28.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1324
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15742
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31797
37.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12076
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1224
97.1 IPS |
|
|
Object Detection (HP)
|
100% |
1594
126.5 IPS |
|
|
Object Detection (Q)
|
87% |
1104
88.7 IPS |
|
|
Face Detection (SP)
|
100% |
2739
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
4675
55.5 IPS |
|
|
Face Detection (Q)
|
97% |
2234
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6880
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10888
83.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
5436
43.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25073
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
42527
54.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18962
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5279
194.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10378
383.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3474
128.6 IPS |
|
|
Text Classification (SP)
|
100% |
1604
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
2644
3.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1180
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1313
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1670
28.8 IPS |
|
|
Machine Translation (Q)
|
70% |
674
12.6 IPS |
