Khadas Mind
Geekbench ML Score
14105
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 12 2024 05:45 PM |
| Views | 4 |
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% |
6651
1.24 KIPS |
|
|
Image Classification (F16)
|
100% |
6734
1.26 KIPS |
|
|
Image Classification (I8)
|
100% |
5926
1.11 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8934
149.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
8665
144.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
8158
136.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
97193
117.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
98693
119.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
85968
104.1 IPS |
|
|
Object Detection (F32)
|
100% |
4869
363.5 IPS |
|
|
Object Detection (F16)
|
100% |
5108
381.3 IPS |
|
|
Object Detection (I8)
|
63% |
4743
354.1 IPS |
|
|
Face Detection (F32)
|
100% |
15075
179.2 IPS |
|
|
Face Detection (F16)
|
100% |
16200
192.6 IPS |
|
|
Face Detection (I8)
|
89% |
14455
171.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
43425
336.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
43043
333.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
37100
287.7 IPS |
|
|
Style Transfer (F32)
|
100% |
183095
240.8 IPS |
|
|
Style Transfer (F16)
|
100% |
162592
213.9 IPS |
|
|
Style Transfer (I8)
|
98% |
149776
197.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
26798
957.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
27943
997.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
21183
756.5 IPS |
|
|
Text Classification (F32)
|
100% |
2985
4.29 KIPS |
|
|
Text Classification (F16)
|
100% |
2963
4.26 KIPS |
|
|
Text Classification (I8)
|
98% |
1587
2.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
2356
43.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2260
41.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1436
26.4 IPS |
