Khadas Mind
Geekbench ML Score
2679
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 02 2024 09:09 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Khadas Mind |
| Motherboard | Khadas Mind-K1018-PCB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 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% |
1400
262.0 IPS |
|
|
Image Classification (F16)
|
100% |
1420
265.8 IPS |
|
|
Image Classification (I8)
|
99% |
2464
461.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1184
19.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1069
17.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2222
37.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5062
6.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
5121
6.20 IPS |
|
|
Pose Estimation (I8)
|
100% |
18690
22.6 IPS |
|
|
Object Detection (F32)
|
100% |
1459
108.9 IPS |
|
|
Object Detection (F16)
|
100% |
1424
106.3 IPS |
|
|
Object Detection (I8)
|
62% |
1282
95.7 IPS |
|
|
Face Detection (F32)
|
100% |
2266
26.9 IPS |
|
|
Face Detection (F16)
|
100% |
2224
26.4 IPS |
|
|
Face Detection (I8)
|
89% |
3438
40.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5689
44.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5743
44.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
11142
86.4 IPS |
|
|
Style Transfer (F32)
|
100% |
12176
16.0 IPS |
|
|
Style Transfer (F16)
|
100% |
10875
14.3 IPS |
|
|
Style Transfer (I8)
|
98% |
17642
23.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2288
81.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2404
85.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3705
132.3 IPS |
|
|
Text Classification (F32)
|
100% |
1003
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
946
1.36 KIPS |
|
|
Text Classification (I8)
|
98% |
353
506.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1248
23.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1331
24.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2329
42.9 IPS |
