Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
4297
Single Precision Score
7574
Half Precision Score
3245
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 15 2025 10:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 760M 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 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1632
303.4 IPS |
|
|
Image Classification (HP)
|
100% |
3431
638.1 IPS |
|
|
Image Classification (Q)
|
100% |
1539
286.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1771
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2656
43.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1492
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22213
25.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
52463
61.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
15429
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
100% |
2504
198.6 IPS |
|
|
Object Detection (Q)
|
87% |
1428
114.7 IPS |
|
|
Face Detection (SP)
|
100% |
2927
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
5389
64.0 IPS |
|
|
Face Detection (Q)
|
97% |
2430
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9371
72.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15839
122.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
7116
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38128
49.0 IPS |
|
|
Style Transfer (HP)
|
100% |
68663
88.3 IPS |
|
|
Style Transfer (Q)
|
98% |
24411
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6252
230.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16434
606.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4108
152.1 IPS |
|
|
Text Classification (SP)
|
100% |
2186
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3120
4.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1613
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1508
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1727
29.7 IPS |
|
|
Machine Translation (Q)
|
70% |
917
17.2 IPS |
