KHADAS Mind 2s
Geekbench ML Score
6512
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 25 2025 04:27 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | KHADAS Mind 2s |
| Motherboard | KHADAS MIND-2S-K1018 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 3.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (32GB) |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4259
797.0 IPS |
|
|
Image Classification (F16)
|
100% |
4307
805.9 IPS |
|
|
Image Classification (I8)
|
100% |
3167
592.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
5618
93.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
5641
94.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3870
64.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
21376
25.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
21372
25.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
17577
21.3 IPS |
|
|
Object Detection (F32)
|
100% |
3482
260.0 IPS |
|
|
Object Detection (F16)
|
100% |
3604
269.1 IPS |
|
|
Object Detection (I8)
|
59% |
2802
209.2 IPS |
|
|
Face Detection (F32)
|
100% |
7824
93.0 IPS |
|
|
Face Detection (F16)
|
100% |
7495
89.1 IPS |
|
|
Face Detection (I8)
|
89% |
4934
58.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
17599
136.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17785
137.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
13470
104.5 IPS |
|
|
Style Transfer (F32)
|
100% |
56403
74.2 IPS |
|
|
Style Transfer (F16)
|
100% |
57500
75.6 IPS |
|
|
Style Transfer (I8)
|
98% |
43571
57.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9191
328.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9549
341.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6329
226.0 IPS |
|
|
Text Classification (F32)
|
100% |
1385
1.99 KIPS |
|
|
Text Classification (F16)
|
100% |
1355
1.95 KIPS |
|
|
Text Classification (I8)
|
98% |
817
1.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
2541
46.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2644
48.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1304
24.0 IPS |
