Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
10035
Single Precision Score
19515
Half Precision Score
6993
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 08:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| 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 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4249
790.1 IPS |
|
|
Image Classification (HP)
|
99% |
8779
1.64 KIPS |
|
|
Image Classification (Q)
|
99% |
3521
656.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6339
102.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10949
177.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5079
82.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
38567
45.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
136289
159.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
32480
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
4901
388.8 IPS |
|
|
Object Detection (HP)
|
100% |
10613
841.8 IPS |
|
|
Object Detection (Q)
|
84% |
4012
323.6 IPS |
|
|
Face Detection (SP)
|
100% |
10375
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
18925
224.9 IPS |
|
|
Face Detection (Q)
|
97% |
8216
98.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22689
174.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
49871
384.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
16531
132.5 IPS |
|
|
Style Transfer (SP)
|
100% |
70223
90.3 IPS |
|
|
Style Transfer (HP)
|
100% |
195289
251.0 IPS |
|
|
Style Transfer (Q)
|
98% |
55304
71.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14648
540.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28521
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
8931
330.7 IPS |
|
|
Text Classification (SP)
|
100% |
2500
3.34 KIPS |
|
|
Text Classification (HP)
|
99% |
3110
4.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1321
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3361
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3526
60.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1355
25.4 IPS |
