KHADAS Mind 2s
Geekbench AI Score
10634
Single Precision Score
23805
Half Precision Score
29925
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | jeffreyschultz |
| Upload Date | July 01 2025 03:48 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
6947
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
12561
2.34 KIPS |
|
|
Image Classification (Q)
|
100% |
16276
3.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9245
149.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22789
369.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
26976
437.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24861
29.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
99858
116.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
183918
215.3 IPS |
|
|
Object Detection (SP)
|
100% |
6839
542.5 IPS |
|
|
Object Detection (HP)
|
100% |
14385
1.14 KIPS |
|
|
Object Detection (Q)
|
88% |
17244
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
13494
160.3 IPS |
|
|
Face Detection (HP)
|
100% |
28410
337.6 IPS |
|
|
Face Detection (Q)
|
100% |
39241
466.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21749
167.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
50147
386.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
64128
498.5 IPS |
|
|
Style Transfer (SP)
|
100% |
60929
78.3 IPS |
|
|
Style Transfer (HP)
|
100% |
145391
186.9 IPS |
|
|
Style Transfer (Q)
|
98% |
265180
342.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10346
382.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30811
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37935
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3975
5.31 KIPS |
|
|
Text Classification (Q)
|
92% |
2782
3.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3101
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5604
96.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5873
101.2 IPS |
