Khadas Mind
Geekbench AI Score
3138
Single Precision Score
3136
Half Precision Score
1935
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 09:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Khadas Mind |
| Motherboard | Khadas Mind-K1014-PCB |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1360P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1179
219.2 IPS |
|
|
Image Classification (HP)
|
100% |
1275
237.1 IPS |
|
|
Image Classification (Q)
|
100% |
1018
189.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2056
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2249
36.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1438
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12326
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12364
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
6151
7.20 IPS |
|
|
Object Detection (SP)
|
100% |
1458
115.7 IPS |
|
|
Object Detection (HP)
|
98% |
1325
105.4 IPS |
|
|
Object Detection (Q)
|
86% |
1229
98.8 IPS |
|
|
Face Detection (SP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
3592
42.7 IPS |
|
|
Face Detection (Q)
|
97% |
2255
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6143
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6703
51.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
4257
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26399
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32931
42.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16507
21.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3638
134.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4628
170.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1524
56.4 IPS |
|
|
Text Classification (SP)
|
100% |
950
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
456
608.7 IPS |
|
|
Text Classification (Q)
|
97% |
504
675.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1174
20.2 IPS |
|
|
Machine Translation (Q)
|
70% |
547
10.3 IPS |
