Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
18601
Single Precision Score
33827
Half Precision Score
14357
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 27 2025 12:15 PM |
| Views | 9 |
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% |
7756
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
13993
2.60 KIPS |
|
|
Image Classification (Q)
|
99% |
6921
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12824
207.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
17650
286.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11588
188.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
94628
110.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
291730
340.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
81154
95.1 IPS |
|
|
Object Detection (SP)
|
100% |
10228
811.3 IPS |
|
|
Object Detection (HP)
|
100% |
17214
1.37 KIPS |
|
|
Object Detection (Q)
|
83% |
8729
705.3 IPS |
|
|
Face Detection (SP)
|
100% |
23512
279.4 IPS |
|
|
Face Detection (HP)
|
100% |
40216
477.9 IPS |
|
|
Face Detection (Q)
|
97% |
20904
249.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
45386
349.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
93800
722.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
37273
298.0 IPS |
|
|
Style Transfer (SP)
|
100% |
142750
183.5 IPS |
|
|
Style Transfer (HP)
|
100% |
487848
627.1 IPS |
|
|
Style Transfer (Q)
|
98% |
122287
157.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26688
985.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51617
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20509
759.4 IPS |
|
|
Text Classification (SP)
|
100% |
3096
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3705
4.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1978
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4094
70.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4495
77.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1695
31.8 IPS |
