Durabook R10
Geekbench AI Score
2144
Single Precision Score
22561
Half Precision Score
34647
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 02:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Durabook R10 |
| Motherboard | Twinhead LunarLake |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 226V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1029
191.4 IPS |
|
|
Image Classification (HP)
|
100% |
9675
1.80 KIPS |
|
|
Image Classification (Q)
|
100% |
12187
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1321
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14126
229.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24077
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2033
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
79245
92.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
181216
212.3 IPS |
|
|
Object Detection (SP)
|
100% |
1150
91.2 IPS |
|
|
Object Detection (HP)
|
100% |
13243
1.05 KIPS |
|
|
Object Detection (Q)
|
88% |
20770
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3747
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
31813
378.0 IPS |
|
|
Face Detection (Q)
|
100% |
50316
597.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3351
25.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
69218
535.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
132965
1.03 KIPS |
|
|
Style Transfer (SP)
|
100% |
7887
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
187588
241.1 IPS |
|
|
Style Transfer (Q)
|
98% |
289653
373.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21644
799.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33746
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
1605
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
2905
3.88 KIPS |
|
|
Text Classification (Q)
|
92% |
3465
4.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2499
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9173
158.0 IPS |
|
|
Machine Translation (Q)
|
100% |
9962
171.6 IPS |
