Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
4476
Single Precision Score
2020
Half Precision Score
8157
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 07:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| 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 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3702
688.4 IPS |
|
|
Image Classification (HP)
|
100% |
805
149.6 IPS |
|
|
Image Classification (Q)
|
99% |
8037
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1078
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3950
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6740
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
5591
6.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
23614
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
3482
276.2 IPS |
|
|
Object Detection (HP)
|
100% |
980
77.7 IPS |
|
|
Object Detection (Q)
|
86% |
8265
664.3 IPS |
|
|
Face Detection (SP)
|
100% |
7767
92.3 IPS |
|
|
Face Detection (HP)
|
100% |
2235
26.6 IPS |
|
|
Face Detection (Q)
|
97% |
10301
122.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8578
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2921
22.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17550
140.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16868
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13128
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28135
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3035
112.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2684
99.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4365
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
2018
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1026
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2225
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2967
51.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4264
85.7 IPS |
