KHADAS Mind 2 AI Maker Kit
Geekbench AI Score
3093
Single Precision Score
15974
Half Precision Score
23288
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 07:36 PM |
| Views | 1 |
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% |
1969
366.2 IPS |
|
|
Image Classification (HP)
|
100% |
10635
1.98 KIPS |
|
|
Image Classification (Q)
|
100% |
15675
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2084
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4492
72.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5470
88.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3410
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
93172
108.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
182492
213.8 IPS |
|
|
Object Detection (SP)
|
100% |
1910
151.5 IPS |
|
|
Object Detection (HP)
|
100% |
12383
982.2 IPS |
|
|
Object Detection (Q)
|
87% |
16912
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
5577
66.3 IPS |
|
|
Face Detection (HP)
|
100% |
21821
259.3 IPS |
|
|
Face Detection (Q)
|
100% |
44982
534.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4849
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
61595
474.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
89798
698.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10275
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
171889
221.0 IPS |
|
|
Style Transfer (Q)
|
98% |
252022
325.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2153
79.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20172
744.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
45672
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
2187
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1972
2.63 KIPS |
|
|
Text Classification (Q)
|
92% |
1699
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2299
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2136
36.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2245
38.7 IPS |
