KHADAS Mind 2s
Geekbench AI Score
4848
Single Precision Score
4775
Half Precision Score
11505
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | jeffreyschultz |
| Upload Date | July 01 2025 03:41 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
2821
524.6 IPS |
|
|
Image Classification (HP)
|
100% |
3233
601.3 IPS |
|
|
Image Classification (Q)
|
100% |
8284
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3835
62.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2241
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7898
128.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6948
8.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
6394
7.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
24864
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2560
203.1 IPS |
|
|
Object Detection (HP)
|
100% |
3115
247.1 IPS |
|
|
Object Detection (Q)
|
88% |
7979
639.6 IPS |
|
|
Face Detection (SP)
|
100% |
8186
97.3 IPS |
|
|
Face Detection (HP)
|
100% |
8871
105.4 IPS |
|
|
Face Detection (Q)
|
100% |
16623
197.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7258
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7574
58.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
17298
134.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19843
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17448
22.4 IPS |
|
|
Style Transfer (Q)
|
98% |
64993
83.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3428
126.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3478
128.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11887
440.2 IPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2427
3.24 KIPS |
|
|
Text Classification (Q)
|
92% |
4693
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3149
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4319
74.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3003
51.7 IPS |
