Khadas Mind
Geekbench ML Score
2106
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 09 2024 09:36 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% |
1009
188.8 IPS |
|
|
Image Classification (F16)
|
100% |
1005
188.0 IPS |
|
|
Image Classification (I8)
|
100% |
806
150.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1627
27.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1625
27.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1186
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
11107
13.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
11048
13.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
5344
6.47 IPS |
|
|
Object Detection (F32)
|
100% |
967
72.2 IPS |
|
|
Object Detection (F16)
|
100% |
960
71.7 IPS |
|
|
Object Detection (I8)
|
54% |
843
62.9 IPS |
|
|
Face Detection (F32)
|
100% |
2419
28.8 IPS |
|
|
Face Detection (F16)
|
100% |
2427
28.9 IPS |
|
|
Face Detection (I8)
|
89% |
1638
19.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5145
39.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5241
40.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
3698
28.7 IPS |
|
|
Style Transfer (F32)
|
100% |
22134
29.1 IPS |
|
|
Style Transfer (F16)
|
100% |
22288
29.3 IPS |
|
|
Style Transfer (I8)
|
98% |
14362
18.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2993
106.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3047
108.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1356
48.4 IPS |
|
|
Text Classification (F32)
|
100% |
715
1.03 KIPS |
|
|
Text Classification (F16)
|
100% |
615
883.4 IPS |
|
|
Text Classification (I8)
|
98% |
382
549.4 IPS |
|
|
Machine Translation (F32)
|
100% |
795
14.6 IPS |
|
|
Machine Translation (F16)
|
100% |
753
13.9 IPS |
|
|
Machine Translation (I8)
|
70% |
456
8.40 IPS |
