Khadas Mind
Geekbench ML Score
2040
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 09 2024 09:30 PM |
| Views | 3 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1065
199.3 IPS |
|
|
Image Classification (F16)
|
100% |
1055
197.5 IPS |
|
|
Image Classification (I8)
|
99% |
1841
344.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
997
16.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
986
16.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1479
24.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
3157
3.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
3164
3.83 IPS |
|
|
Pose Estimation (I8)
|
100% |
10386
12.6 IPS |
|
|
Object Detection (F32)
|
100% |
1051
78.5 IPS |
|
|
Object Detection (F16)
|
100% |
1049
78.3 IPS |
|
|
Object Detection (I8)
|
62% |
1003
74.8 IPS |
|
|
Face Detection (F32)
|
100% |
2410
28.7 IPS |
|
|
Face Detection (F16)
|
100% |
2410
28.7 IPS |
|
|
Face Detection (I8)
|
89% |
2815
33.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3860
29.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
3886
30.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
7826
60.7 IPS |
|
|
Style Transfer (F32)
|
100% |
7891
10.4 IPS |
|
|
Style Transfer (F16)
|
100% |
7973
10.5 IPS |
|
|
Style Transfer (I8)
|
98% |
14317
18.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1661
59.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1642
58.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2721
97.2 IPS |
|
|
Text Classification (F32)
|
100% |
876
1.26 KIPS |
|
|
Text Classification (F16)
|
100% |
893
1.28 KIPS |
|
|
Text Classification (I8)
|
98% |
276
396.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1126
20.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1160
21.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1569
28.9 IPS |
