KHADAS Mind 2 AI Maker Kit
Geekbench AI Score
3030
Single Precision Score
16630
Half Precision Score
23255
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 29 2024 02:19 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | KHADAS Mind 2 AI Maker Kit |
| Motherboard | KHADAS MIND-2-AI-MAKER-KIT-K1019 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1919
356.9 IPS |
|
|
Image Classification (HP)
|
100% |
10588
1.97 KIPS |
|
|
Image Classification (Q)
|
100% |
14713
2.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2041
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4564
74.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4889
79.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3355
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
93134
108.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
183373
214.8 IPS |
|
|
Object Detection (SP)
|
100% |
1835
145.6 IPS |
|
|
Object Detection (HP)
|
100% |
12411
984.5 IPS |
|
|
Object Detection (Q)
|
87% |
17120
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
5506
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
22116
262.8 IPS |
|
|
Face Detection (Q)
|
100% |
43881
521.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4708
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
61296
472.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
88660
690.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10081
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
189508
243.6 IPS |
|
|
Style Transfer (Q)
|
98% |
276883
357.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2101
77.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27473
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49028
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2160
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1817
2.43 KIPS |
|
|
Text Classification (Q)
|
92% |
1768
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2285
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2259
38.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2194
37.8 IPS |
