Win element M600
Geekbench AI Score
8470
Single Precision Score
12256
Half Precision Score
6307
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SAI9 |
| Upload Date | April 22 2025 09:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| 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% |
3166
588.8 IPS |
|
|
Image Classification (HP)
|
100% |
5154
958.5 IPS |
|
|
Image Classification (Q)
|
100% |
3164
588.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4160
67.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5074
82.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3361
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
42864
50.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
75415
88.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
30990
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
2773
220.0 IPS |
|
|
Object Detection (HP)
|
100% |
4086
324.1 IPS |
|
|
Object Detection (Q)
|
87% |
2552
204.9 IPS |
|
|
Face Detection (SP)
|
100% |
6256
74.3 IPS |
|
|
Face Detection (HP)
|
100% |
11285
134.1 IPS |
|
|
Face Detection (Q)
|
97% |
5157
61.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18946
146.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
28720
221.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
14323
114.9 IPS |
|
|
Style Transfer (SP)
|
100% |
73366
94.3 IPS |
|
|
Style Transfer (HP)
|
100% |
119913
154.1 IPS |
|
|
Style Transfer (Q)
|
98% |
48749
62.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14872
549.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21680
800.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9206
340.9 IPS |
|
|
Text Classification (SP)
|
100% |
2687
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (Q)
|
97% |
1920
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3497
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3867
66.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1861
34.9 IPS |
