KHADAS Mind 2 AI Maker Kit
Geekbench AI Score
2947
Single Precision Score
16679
Half Precision Score
22709
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 29 2024 02:52 AM |
| Views | 28 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | KHADAS Mind 2 AI Maker Kit |
| Motherboard | KHADAS MIND-2-AI-MAKER-KIT-K1019 |
| 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% |
1935
359.9 IPS |
|
|
Image Classification (HP)
|
100% |
11558
2.15 KIPS |
|
|
Image Classification (Q)
|
100% |
15304
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1873
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5023
81.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5494
89.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3371
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
95587
111.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
182877
214.2 IPS |
|
|
Object Detection (SP)
|
100% |
1860
147.5 IPS |
|
|
Object Detection (HP)
|
100% |
11001
872.6 IPS |
|
|
Object Detection (Q)
|
87% |
13234
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
5466
64.9 IPS |
|
|
Face Detection (HP)
|
100% |
23302
276.9 IPS |
|
|
Face Detection (Q)
|
100% |
39588
470.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4698
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
60001
462.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
82656
643.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9960
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
177381
228.0 IPS |
|
|
Style Transfer (Q)
|
98% |
257385
331.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2087
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24001
886.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
51479
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
1762
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2116
2.82 KIPS |
|
|
Text Classification (Q)
|
92% |
1925
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2312
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2167
37.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2148
37.0 IPS |
