Khadas Mind
Geekbench ML Score
2688
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 02 2024 09:14 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Khadas Mind |
| Motherboard | Khadas Mind-K1018-PCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1136
212.6 IPS |
|
|
Image Classification (F16)
|
100% |
1137
212.8 IPS |
|
|
Image Classification (I8)
|
100% |
1016
190.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1324
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1324
22.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1179
19.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
12441
15.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
12281
14.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
10936
13.2 IPS |
|
|
Object Detection (F32)
|
100% |
991
74.0 IPS |
|
|
Object Detection (F16)
|
100% |
1003
74.9 IPS |
|
|
Object Detection (I8)
|
54% |
891
66.6 IPS |
|
|
Face Detection (F32)
|
100% |
1193
14.2 IPS |
|
|
Face Detection (F16)
|
100% |
1177
14.0 IPS |
|
|
Face Detection (I8)
|
89% |
1069
12.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6574
51.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6701
52.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
5645
43.8 IPS |
|
|
Style Transfer (F32)
|
100% |
35097
46.2 IPS |
|
|
Style Transfer (F16)
|
100% |
35512
46.7 IPS |
|
|
Style Transfer (I8)
|
98% |
27732
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6866
245.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6603
235.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4583
163.7 IPS |
|
|
Text Classification (F32)
|
90% |
714
1.03 KIPS |
|
|
Text Classification (F16)
|
90% |
707
1.02 KIPS |
|
|
Text Classification (I8)
|
90% |
517
743.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1739
32.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1733
31.9 IPS |
|
|
Machine Translation (I8)
|
70% |
904
16.6 IPS |
