Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
3431
Single Precision Score
5098
Half Precision Score
2621
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 08:04 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% |
1304
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
2103
391.1 IPS |
|
|
Image Classification (Q)
|
100% |
1244
231.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1322
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15405
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31473
36.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
11854
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1214
96.3 IPS |
|
|
Object Detection (HP)
|
100% |
1596
126.6 IPS |
|
|
Object Detection (Q)
|
87% |
1122
90.1 IPS |
|
|
Face Detection (SP)
|
100% |
2731
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
4715
56.0 IPS |
|
|
Face Detection (Q)
|
97% |
2272
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7167
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11118
85.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
5370
43.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24391
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41063
52.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19612
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5751
212.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9231
340.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3597
133.2 IPS |
|
|
Text Classification (SP)
|
100% |
1612
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1927
2.57 KIPS |
|
|
Text Classification (Q)
|
97% |
1194
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1267
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1619
27.9 IPS |
|
|
Machine Translation (Q)
|
70% |
681
12.8 IPS |
