KHADAS Mind 2 AI Maker Kit
Geekbench AI Score
1099
Single Precision Score
1088
Half Precision Score
975
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | January 26 2025 09:19 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| 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 | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
786
146.2 IPS |
|
|
Image Classification (HP)
|
100% |
785
146.0 IPS |
|
|
Image Classification (Q)
|
99% |
652
121.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1106
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
815
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1423
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
1090
1.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
1708
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
703
55.8 IPS |
|
|
Object Detection (HP)
|
100% |
752
59.6 IPS |
|
|
Object Detection (Q)
|
85% |
686
55.3 IPS |
|
|
Face Detection (SP)
|
100% |
1405
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1430
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
1547
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1397
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1391
10.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1286
12.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2063
2.65 IPS |
|
|
Style Transfer (HP)
|
100% |
2110
2.71 IPS |
|
|
Style Transfer (Q)
|
98% |
3623
4.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
880
32.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
889
32.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
927
34.3 IPS |
|
|
Text Classification (SP)
|
100% |
692
923.4 IPS |
|
|
Text Classification (HP)
|
100% |
689
919.0 IPS |
|
|
Text Classification (Q)
|
92% |
469
630.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1202
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1231
21.2 IPS |
|
|
Machine Translation (Q)
|
58% |
402
9.44 IPS |
