Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
12985
Single Precision Score
21506
Half Precision Score
9081
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 17 2025 12:41 PM |
| 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 8500G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 120 Stepping 0 |
| Base Frequency | 3.55 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5717
1.06 KIPS |
|
|
Image Classification (HP)
|
99% |
9098
1.70 KIPS |
|
|
Image Classification (Q)
|
99% |
4313
804.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7717
125.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11039
179.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6432
104.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
66768
77.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
164606
192.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
55659
65.2 IPS |
|
|
Object Detection (SP)
|
100% |
6846
543.0 IPS |
|
|
Object Detection (HP)
|
100% |
11466
909.5 IPS |
|
|
Object Detection (Q)
|
84% |
5232
422.0 IPS |
|
|
Face Detection (SP)
|
100% |
14753
175.3 IPS |
|
|
Face Detection (HP)
|
100% |
23106
274.5 IPS |
|
|
Face Detection (Q)
|
97% |
11913
142.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
33525
258.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
62026
479.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
22738
182.0 IPS |
|
|
Style Transfer (SP)
|
100% |
108521
139.5 IPS |
|
|
Style Transfer (HP)
|
100% |
277158
356.3 IPS |
|
|
Style Transfer (Q)
|
98% |
89552
115.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20222
746.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32995
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13335
493.8 IPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3048
4.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1214
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2741
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2796
48.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1203
22.6 IPS |
