KHADAS Mind 2s
Geekbench AI Score
20524
Single Precision Score
33654
Half Precision Score
16189
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | jeffreyschultz |
| Upload Date | July 01 2025 03:56 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8398
1.56 KIPS |
|
|
Image Classification (HP)
|
99% |
13025
2.43 KIPS |
|
|
Image Classification (Q)
|
99% |
7509
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14477
234.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19174
310.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13240
215.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
115248
134.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
348089
406.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
101401
118.8 IPS |
|
|
Object Detection (SP)
|
100% |
9997
792.9 IPS |
|
|
Object Detection (HP)
|
100% |
16283
1.29 KIPS |
|
|
Object Detection (Q)
|
85% |
8790
707.6 IPS |
|
|
Face Detection (SP)
|
100% |
25599
304.2 IPS |
|
|
Face Detection (HP)
|
100% |
39147
465.2 IPS |
|
|
Face Detection (Q)
|
97% |
22881
272.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
47133
363.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
90465
697.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
39098
313.1 IPS |
|
|
Style Transfer (SP)
|
100% |
197748
254.2 IPS |
|
|
Style Transfer (HP)
|
100% |
459629
590.9 IPS |
|
|
Style Transfer (Q)
|
98% |
176531
227.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31925
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48852
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24147
894.1 IPS |
|
|
Text Classification (SP)
|
100% |
3108
4.15 KIPS |
|
|
Text Classification (HP)
|
99% |
3844
5.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1853
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4001
68.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4308
74.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1975
37.0 IPS |
