Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
13507
Single Precision Score
22715
Half Precision Score
9378
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 06 2025 07:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E28 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-B (MS-7E28) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8400F 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5955
1.11 KIPS |
|
|
Image Classification (HP)
|
99% |
9577
1.79 KIPS |
|
|
Image Classification (Q)
|
99% |
4525
844.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
8478
137.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12210
197.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6952
113.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
65973
77.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
173988
203.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
55399
64.9 IPS |
|
|
Object Detection (SP)
|
100% |
7242
574.4 IPS |
|
|
Object Detection (HP)
|
100% |
12585
998.2 IPS |
|
|
Object Detection (Q)
|
84% |
5591
450.9 IPS |
|
|
Face Detection (SP)
|
100% |
15620
185.6 IPS |
|
|
Face Detection (HP)
|
100% |
24278
288.5 IPS |
|
|
Face Detection (Q)
|
97% |
12375
147.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
34093
262.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
64606
499.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
23642
189.2 IPS |
|
|
Style Transfer (SP)
|
100% |
109617
140.9 IPS |
|
|
Style Transfer (HP)
|
100% |
288139
370.4 IPS |
|
|
Style Transfer (Q)
|
98% |
89454
115.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20882
771.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34404
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13351
494.4 IPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
2996
4.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1220
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2970
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3067
52.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1267
23.8 IPS |
