Khadas Mind
Geekbench ML Score
2123
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 09 2024 09:38 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% |
1010
189.1 IPS |
|
|
Image Classification (F16)
|
100% |
993
185.8 IPS |
|
|
Image Classification (I8)
|
100% |
822
153.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1612
26.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1634
27.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1186
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
11068
13.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
10782
13.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
5358
6.49 IPS |
|
|
Object Detection (F32)
|
100% |
979
73.1 IPS |
|
|
Object Detection (F16)
|
100% |
998
74.5 IPS |
|
|
Object Detection (I8)
|
54% |
808
60.4 IPS |
|
|
Face Detection (F32)
|
100% |
2435
28.9 IPS |
|
|
Face Detection (F16)
|
100% |
2433
28.9 IPS |
|
|
Face Detection (I8)
|
89% |
1654
19.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5211
40.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
5146
39.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
3696
28.7 IPS |
|
|
Style Transfer (F32)
|
100% |
22275
29.3 IPS |
|
|
Style Transfer (F16)
|
100% |
22561
29.7 IPS |
|
|
Style Transfer (I8)
|
98% |
14425
19.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3032
108.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3026
108.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1351
48.3 IPS |
|
|
Text Classification (F32)
|
100% |
737
1.06 KIPS |
|
|
Text Classification (F16)
|
100% |
786
1.13 KIPS |
|
|
Text Classification (I8)
|
98% |
380
545.9 IPS |
|
|
Machine Translation (F32)
|
100% |
758
14.0 IPS |
|
|
Machine Translation (F16)
|
100% |
752
13.8 IPS |
|
|
Machine Translation (I8)
|
70% |
455
8.38 IPS |
