Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
18793
Single Precision Score
33911
Half Precision Score
14462
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 05 2025 06:35 AM |
| Views | 4 |
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% |
7788
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
13830
2.57 KIPS |
|
|
Image Classification (Q)
|
99% |
6952
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12749
206.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17873
289.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
11587
188.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
96852
113.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
292122
340.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
81419
95.4 IPS |
|
|
Object Detection (SP)
|
100% |
10409
825.6 IPS |
|
|
Object Detection (HP)
|
100% |
16896
1.34 KIPS |
|
|
Object Detection (Q)
|
83% |
8887
718.0 IPS |
|
|
Face Detection (SP)
|
100% |
23645
281.0 IPS |
|
|
Face Detection (HP)
|
100% |
39702
471.7 IPS |
|
|
Face Detection (Q)
|
97% |
21195
252.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
46479
358.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95247
733.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
37519
300.0 IPS |
|
|
Style Transfer (SP)
|
100% |
146810
188.7 IPS |
|
|
Style Transfer (HP)
|
100% |
501521
644.7 IPS |
|
|
Style Transfer (Q)
|
98% |
123541
159.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26934
994.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52187
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20841
771.7 IPS |
|
|
Text Classification (SP)
|
100% |
3083
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3710
4.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1974
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4099
70.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4489
77.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1699
31.9 IPS |
