Durabook R10
Geekbench AI Score
2553
Single Precision Score
16385
Half Precision Score
35591
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 02:57 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% |
1446
268.9 IPS |
|
|
Image Classification (HP)
|
100% |
8728
1.62 KIPS |
|
|
Image Classification (Q)
|
100% |
13696
2.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8170
132.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25717
416.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2951
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
73296
85.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
228925
268.2 IPS |
|
|
Object Detection (SP)
|
100% |
1223
97.0 IPS |
|
|
Object Detection (HP)
|
100% |
12926
1.03 KIPS |
|
|
Object Detection (Q)
|
88% |
21368
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
4427
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
28626
340.1 IPS |
|
|
Face Detection (Q)
|
100% |
43369
515.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3681
28.4 IPS |
|
|
Depth Estimation (HP)
|
92% |
41147
319.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
123080
957.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8855
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
110495
142.0 IPS |
|
|
Style Transfer (Q)
|
98% |
322781
416.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1832
67.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13574
501.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
44840
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
1859
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1955
2.61 KIPS |
|
|
Text Classification (Q)
|
92% |
3220
4.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2846
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5980
103.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7610
131.1 IPS |
