Durabook R10
Geekbench AI Score
2578
Single Precision Score
16357
Half Precision Score
32351
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 02:59 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 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1330
247.4 IPS |
|
|
Image Classification (HP)
|
100% |
9422
1.75 KIPS |
|
|
Image Classification (Q)
|
100% |
12518
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1558
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7606
123.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
29728
481.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2974
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
82341
96.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
200659
235.1 IPS |
|
|
Object Detection (SP)
|
100% |
1415
112.2 IPS |
|
|
Object Detection (HP)
|
100% |
10006
793.7 IPS |
|
|
Object Detection (Q)
|
88% |
13824
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4772
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
28663
340.6 IPS |
|
|
Face Detection (Q)
|
100% |
51749
614.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3917
30.2 IPS |
|
|
Depth Estimation (HP)
|
92% |
36015
279.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
105566
821.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8804
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
93205
119.8 IPS |
|
|
Style Transfer (Q)
|
98% |
320058
412.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1819
67.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27393
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40977
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
1806
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1906
2.54 KIPS |
|
|
Text Classification (Q)
|
92% |
3000
4.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2758
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4624
79.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5660
97.5 IPS |
