Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
9657
Single Precision Score
18529
Half Precision Score
6842
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 12 2025 11:14 AM |
| Views | 6 |
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 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4287
797.2 IPS |
|
|
Image Classification (HP)
|
99% |
8773
1.64 KIPS |
|
|
Image Classification (Q)
|
99% |
3544
661.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5797
94.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9399
152.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4780
77.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
38334
44.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
133289
155.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
32133
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
4839
383.8 IPS |
|
|
Object Detection (HP)
|
100% |
10344
820.5 IPS |
|
|
Object Detection (Q)
|
84% |
3962
319.6 IPS |
|
|
Face Detection (SP)
|
100% |
9907
117.7 IPS |
|
|
Face Detection (HP)
|
100% |
17759
211.0 IPS |
|
|
Face Detection (Q)
|
97% |
8139
97.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22755
175.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
49456
381.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
16573
132.8 IPS |
|
|
Style Transfer (SP)
|
100% |
67024
86.2 IPS |
|
|
Style Transfer (HP)
|
100% |
188361
242.1 IPS |
|
|
Style Transfer (Q)
|
98% |
54530
70.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14264
526.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27016
997.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8800
325.8 IPS |
|
|
Text Classification (SP)
|
100% |
2519
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
3185
4.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1296
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2821
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2949
50.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1244
23.3 IPS |
