KHADAS Mind 2s
Geekbench AI Score
2828
Single Precision Score
1244
Half Precision Score
4701
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dachscar |
| Upload Date | February 21 2025 07:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| 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% |
2644
491.7 IPS |
|
|
Image Classification (HP)
|
100% |
357
66.4 IPS |
|
|
Image Classification (Q)
|
99% |
5781
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
888
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2428
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4750
5.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3999
4.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
14761
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1997
158.4 IPS |
|
|
Object Detection (HP)
|
100% |
514
40.8 IPS |
|
|
Object Detection (Q)
|
86% |
4530
364.1 IPS |
|
|
Face Detection (SP)
|
100% |
3696
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
1378
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
8109
96.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5900
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1874
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9664
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12524
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8510
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15747
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1810
66.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1742
64.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2290
84.8 IPS |
|
|
Text Classification (SP)
|
100% |
1284
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
664
886.6 IPS |
|
|
Text Classification (Q)
|
97% |
1224
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1540
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
536
9.23 IPS |
|
|
Machine Translation (Q)
|
65% |
1627
32.7 IPS |
