Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
6880
Single Precision Score
2776
Half Precision Score
11389
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 24 2025 12:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| 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 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5877
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
1071
199.3 IPS |
|
|
Image Classification (Q)
|
99% |
12336
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2982
48.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4819
78.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10964
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
8914
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
39304
46.1 IPS |
|
|
Object Detection (SP)
|
100% |
5515
437.5 IPS |
|
|
Object Detection (HP)
|
100% |
1352
107.2 IPS |
|
|
Object Detection (Q)
|
86% |
12563
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
9347
111.1 IPS |
|
|
Face Detection (HP)
|
100% |
2822
33.5 IPS |
|
|
Face Detection (Q)
|
97% |
13614
162.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13980
107.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3816
29.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
25650
204.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25464
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18859
24.2 IPS |
|
|
Style Transfer (Q)
|
98% |
34319
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5146
190.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3953
146.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6696
247.9 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1389
1.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2701
3.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4105
70.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1176
20.2 IPS |
|
|
Machine Translation (Q)
|
65% |
5775
116.0 IPS |
