Khadas Mind
Geekbench ML Score
2056
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 09 2024 09:32 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1071
200.4 IPS |
|
|
Image Classification (F16)
|
100% |
1024
191.6 IPS |
|
|
Image Classification (I8)
|
99% |
1831
342.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1003
16.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1024
17.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1512
25.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
3186
3.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
3173
3.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
10612
12.9 IPS |
|
|
Object Detection (F32)
|
100% |
1074
80.2 IPS |
|
|
Object Detection (F16)
|
100% |
1063
79.4 IPS |
|
|
Object Detection (I8)
|
62% |
1028
76.7 IPS |
|
|
Face Detection (F32)
|
100% |
2446
29.1 IPS |
|
|
Face Detection (F16)
|
100% |
2532
30.1 IPS |
|
|
Face Detection (I8)
|
89% |
2907
34.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3911
30.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
3911
30.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
7667
59.5 IPS |
|
|
Style Transfer (F32)
|
100% |
7849
10.3 IPS |
|
|
Style Transfer (F16)
|
100% |
7907
10.4 IPS |
|
|
Style Transfer (I8)
|
98% |
14229
18.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1663
59.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1663
59.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2717
97.0 IPS |
|
|
Text Classification (F32)
|
100% |
890
1.28 KIPS |
|
|
Text Classification (F16)
|
100% |
888
1.28 KIPS |
|
|
Text Classification (I8)
|
98% |
277
397.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1140
21.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1143
21.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1585
29.2 IPS |
