Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
3377
Single Precision Score
1610
Half Precision Score
6164
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 15 2025 10:05 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8600G |
| 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% |
2894
538.1 IPS |
|
|
Image Classification (HP)
|
100% |
612
113.8 IPS |
|
|
Image Classification (Q)
|
99% |
7501
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
767
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3374
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5837
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
4672
5.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
20846
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
2644
209.7 IPS |
|
|
Object Detection (HP)
|
100% |
812
64.4 IPS |
|
|
Object Detection (Q)
|
86% |
7203
578.9 IPS |
|
|
Face Detection (SP)
|
100% |
3939
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
1560
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
8638
103.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7959
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2532
19.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
7019
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13715
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12011
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17567
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2522
93.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2311
85.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3473
128.6 IPS |
|
|
Text Classification (SP)
|
100% |
1743
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
796
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1991
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1943
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2833
56.9 IPS |
