Khadas Mind
Geekbench ML Score
2036
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 09 2024 09:33 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% |
1044
195.4 IPS |
|
|
Image Classification (F16)
|
100% |
1046
195.7 IPS |
|
|
Image Classification (I8)
|
99% |
1819
340.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1004
16.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1012
16.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1493
24.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
3244
3.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
3171
3.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
10491
12.7 IPS |
|
|
Object Detection (F32)
|
100% |
1057
78.9 IPS |
|
|
Object Detection (F16)
|
100% |
1048
78.2 IPS |
|
|
Object Detection (I8)
|
62% |
1000
74.6 IPS |
|
|
Face Detection (F32)
|
100% |
2455
29.2 IPS |
|
|
Face Detection (F16)
|
100% |
2440
29.0 IPS |
|
|
Face Detection (I8)
|
89% |
2885
34.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3882
30.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3875
30.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
7808
60.5 IPS |
|
|
Style Transfer (F32)
|
100% |
7864
10.3 IPS |
|
|
Style Transfer (F16)
|
100% |
7832
10.3 IPS |
|
|
Style Transfer (I8)
|
98% |
14533
19.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1639
58.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1637
58.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2702
96.5 IPS |
|
|
Text Classification (F32)
|
100% |
822
1.18 KIPS |
|
|
Text Classification (F16)
|
100% |
855
1.23 KIPS |
|
|
Text Classification (I8)
|
98% |
293
421.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1124
20.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1102
20.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1519
27.9 IPS |
