Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
18806
Single Precision Score
33448
Half Precision Score
14643
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 05 2025 05:58 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| 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% |
7801
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
13481
2.51 KIPS |
|
|
Image Classification (Q)
|
99% |
6968
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12889
208.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
17862
289.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11806
192.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
97140
113.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
301379
351.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
82021
96.1 IPS |
|
|
Object Detection (SP)
|
100% |
10414
826.0 IPS |
|
|
Object Detection (HP)
|
100% |
16857
1.34 KIPS |
|
|
Object Detection (Q)
|
83% |
8934
721.8 IPS |
|
|
Face Detection (SP)
|
100% |
24462
290.7 IPS |
|
|
Face Detection (HP)
|
100% |
40526
481.5 IPS |
|
|
Face Detection (Q)
|
97% |
21678
258.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
47912
369.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95519
735.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
37788
302.1 IPS |
|
|
Style Transfer (SP)
|
100% |
147175
189.2 IPS |
|
|
Style Transfer (HP)
|
100% |
505057
649.3 IPS |
|
|
Style Transfer (Q)
|
98% |
126579
163.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27160
1.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51644
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21028
778.6 IPS |
|
|
Text Classification (SP)
|
100% |
2802
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
3301
4.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1946
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4146
71.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4299
74.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1773
33.2 IPS |
