Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
9553
Single Precision Score
18185
Half Precision Score
6668
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 11 2025 11:11 AM |
| Views | 10 |
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-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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4090
760.6 IPS |
|
|
Image Classification (HP)
|
99% |
8419
1.57 KIPS |
|
|
Image Classification (Q)
|
99% |
3362
627.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6066
98.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10112
163.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4897
79.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
38107
44.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
128357
149.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
32316
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
4605
365.3 IPS |
|
|
Object Detection (HP)
|
100% |
10018
794.6 IPS |
|
|
Object Detection (Q)
|
84% |
3708
299.1 IPS |
|
|
Face Detection (SP)
|
100% |
10023
119.1 IPS |
|
|
Face Detection (HP)
|
100% |
17594
209.1 IPS |
|
|
Face Detection (Q)
|
97% |
8054
96.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21542
166.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
46909
361.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
15829
126.9 IPS |
|
|
Style Transfer (SP)
|
100% |
66692
85.7 IPS |
|
|
Style Transfer (HP)
|
100% |
181027
232.7 IPS |
|
|
Style Transfer (Q)
|
98% |
54064
69.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14101
520.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26120
964.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8345
309.0 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
2865
3.82 KIPS |
|
|
Text Classification (Q)
|
97% |
1242
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3109
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3233
55.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1234
23.2 IPS |
