Khadas Mind
Geekbench ML Score
2121
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 09 2024 09:40 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Khadas Mind |
| Motherboard | Khadas Mind-K1014-PCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1360P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 18.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1006
188.3 IPS |
|
|
Image Classification (F16)
|
100% |
1006
188.2 IPS |
|
|
Image Classification (I8)
|
100% |
816
152.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1604
26.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1628
27.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1186
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
11094
13.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
10972
13.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
5348
6.48 IPS |
|
|
Object Detection (F32)
|
100% |
983
73.4 IPS |
|
|
Object Detection (F16)
|
100% |
992
74.0 IPS |
|
|
Object Detection (I8)
|
54% |
796
59.5 IPS |
|
|
Face Detection (F32)
|
100% |
2430
28.9 IPS |
|
|
Face Detection (F16)
|
100% |
2438
29.0 IPS |
|
|
Face Detection (I8)
|
89% |
1645
19.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5252
40.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
5155
40.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
3688
28.6 IPS |
|
|
Style Transfer (F32)
|
100% |
22138
29.1 IPS |
|
|
Style Transfer (F16)
|
100% |
22629
29.8 IPS |
|
|
Style Transfer (I8)
|
98% |
14415
19.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3094
110.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3010
107.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1357
48.5 IPS |
|
|
Text Classification (F32)
|
100% |
726
1.04 KIPS |
|
|
Text Classification (F16)
|
100% |
721
1.04 KIPS |
|
|
Text Classification (I8)
|
98% |
399
574.1 IPS |
|
|
Machine Translation (F32)
|
100% |
757
13.9 IPS |
|
|
Machine Translation (F16)
|
100% |
766
14.1 IPS |
|
|
Machine Translation (I8)
|
70% |
456
8.39 IPS |
