Khadas Mind
Geekbench ML Score
14041
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 12 2024 05:44 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 | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6785
1.27 KIPS |
|
|
Image Classification (F16)
|
100% |
6906
1.29 KIPS |
|
|
Image Classification (I8)
|
100% |
5950
1.11 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8924
149.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
8919
149.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
8093
135.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
98240
119.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
96107
116.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
86427
104.7 IPS |
|
|
Object Detection (F32)
|
100% |
4818
359.7 IPS |
|
|
Object Detection (F16)
|
100% |
4964
370.6 IPS |
|
|
Object Detection (I8)
|
63% |
4733
353.4 IPS |
|
|
Face Detection (F32)
|
100% |
14303
170.1 IPS |
|
|
Face Detection (F16)
|
100% |
16350
194.4 IPS |
|
|
Face Detection (I8)
|
89% |
12963
154.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
43694
338.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
43236
335.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
34399
266.8 IPS |
|
|
Style Transfer (F32)
|
100% |
165087
217.2 IPS |
|
|
Style Transfer (F16)
|
100% |
167503
220.3 IPS |
|
|
Style Transfer (I8)
|
98% |
153494
201.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
27781
992.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
28330
1.01 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
21641
772.9 IPS |
|
|
Text Classification (F32)
|
100% |
2909
4.18 KIPS |
|
|
Text Classification (F16)
|
100% |
2950
4.24 KIPS |
|
|
Text Classification (I8)
|
98% |
1556
2.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
2559
47.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2338
43.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1400
25.8 IPS |
