Win element M600
Geekbench AI Score
3216
Single Precision Score
1555
Half Precision Score
6892
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 15 2025 08:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Win element M600 |
| Motherboard | Win element M600 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2146
399.2 IPS |
|
|
Image Classification (HP)
|
100% |
627
116.5 IPS |
|
|
Image Classification (Q)
|
99% |
7041
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
865
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3875
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4785
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
4216
4.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
23889
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
2687
213.1 IPS |
|
|
Object Detection (HP)
|
100% |
723
57.3 IPS |
|
|
Object Detection (Q)
|
86% |
7313
587.8 IPS |
|
|
Face Detection (SP)
|
100% |
5436
64.6 IPS |
|
|
Face Detection (HP)
|
100% |
1680
20.0 IPS |
|
|
Face Detection (Q)
|
97% |
10898
129.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9121
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2591
20.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
8506
67.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16993
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11647
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26408
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1885
69.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1813
67.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3694
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
1658
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
724
965.8 IPS |
|
|
Text Classification (Q)
|
97% |
1829
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2182
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3071
61.7 IPS |
