Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
7346
Single Precision Score
9684
Half Precision Score
5528
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 12:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 760M Graphics |
| 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) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3032
563.8 IPS |
|
|
Image Classification (HP)
|
100% |
3887
722.9 IPS |
|
|
Image Classification (Q)
|
100% |
2637
490.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3696
59.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3687
59.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3025
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
37106
43.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
61736
72.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
27680
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
2515
199.5 IPS |
|
|
Object Detection (HP)
|
100% |
3210
254.6 IPS |
|
|
Object Detection (Q)
|
87% |
2284
183.4 IPS |
|
|
Face Detection (SP)
|
100% |
5881
69.9 IPS |
|
|
Face Detection (HP)
|
100% |
10381
123.4 IPS |
|
|
Face Detection (Q)
|
97% |
4995
59.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16438
126.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23093
177.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
12906
103.5 IPS |
|
|
Style Transfer (SP)
|
100% |
58043
74.6 IPS |
|
|
Style Transfer (HP)
|
100% |
91119
117.1 IPS |
|
|
Style Transfer (Q)
|
98% |
41888
54.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11217
414.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16925
625.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7450
275.8 IPS |
|
|
Text Classification (SP)
|
100% |
2369
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2715
3.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1717
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2938
50.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2545
43.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1532
28.7 IPS |
