Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
16265
Single Precision Score
31545
Half Precision Score
13079
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 02:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5050 |
| 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 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6966
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
13915
2.59 KIPS |
|
|
Image Classification (Q)
|
99% |
6316
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10924
177.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
17005
275.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10264
166.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
70016
81.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
245482
286.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
69325
81.2 IPS |
|
|
Object Detection (SP)
|
100% |
8929
708.3 IPS |
|
|
Object Detection (HP)
|
100% |
15537
1.23 KIPS |
|
|
Object Detection (Q)
|
87% |
7956
638.5 IPS |
|
|
Face Detection (SP)
|
100% |
20666
245.6 IPS |
|
|
Face Detection (HP)
|
100% |
35737
424.6 IPS |
|
|
Face Detection (Q)
|
97% |
18564
221.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
38135
293.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87630
675.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
32058
256.3 IPS |
|
|
Style Transfer (SP)
|
100% |
110319
141.8 IPS |
|
|
Style Transfer (HP)
|
100% |
394680
507.4 IPS |
|
|
Style Transfer (Q)
|
98% |
93432
120.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22540
832.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47495
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17957
664.9 IPS |
|
|
Text Classification (SP)
|
100% |
3299
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
4092
5.46 KIPS |
|
|
Text Classification (Q)
|
97% |
2144
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4214
72.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4501
77.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1914
35.9 IPS |
