Khadas Mind
Geekbench ML Score
13961
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 12 2024 05:43 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% |
6353
1.19 KIPS |
|
|
Image Classification (F16)
|
100% |
6770
1.27 KIPS |
|
|
Image Classification (I8)
|
100% |
6120
1.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8572
143.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
8694
145.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
7803
130.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
95980
116.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
96755
117.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
83907
101.6 IPS |
|
|
Object Detection (F32)
|
100% |
4978
371.7 IPS |
|
|
Object Detection (F16)
|
100% |
4919
367.3 IPS |
|
|
Object Detection (I8)
|
63% |
4894
365.4 IPS |
|
|
Face Detection (F32)
|
100% |
15226
181.0 IPS |
|
|
Face Detection (F16)
|
100% |
15533
184.7 IPS |
|
|
Face Detection (I8)
|
89% |
12486
148.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
39802
308.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
43000
333.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
37275
289.1 IPS |
|
|
Style Transfer (F32)
|
100% |
182155
239.6 IPS |
|
|
Style Transfer (F16)
|
100% |
166018
218.4 IPS |
|
|
Style Transfer (I8)
|
98% |
149877
197.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28445
1.02 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
26909
961.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
21914
782.6 IPS |
|
|
Text Classification (F32)
|
100% |
2818
4.05 KIPS |
|
|
Text Classification (F16)
|
100% |
2863
4.12 KIPS |
|
|
Text Classification (I8)
|
98% |
1659
2.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
2365
43.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2359
43.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1458
26.8 IPS |
