Durabook R10
Geekbench AI Score
2685
Single Precision Score
17931
Half Precision Score
32003
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 02:49 AM |
| Views | 6 |
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% |
1621
301.5 IPS |
|
|
Image Classification (HP)
|
100% |
7541
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
14666
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14449
234.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24073
390.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2907
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
86724
101.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
187935
220.1 IPS |
|
|
Object Detection (SP)
|
100% |
1546
122.6 IPS |
|
|
Object Detection (HP)
|
100% |
8725
692.0 IPS |
|
|
Object Detection (Q)
|
88% |
13027
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4631
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
26092
310.0 IPS |
|
|
Face Detection (Q)
|
100% |
48514
576.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3993
30.8 IPS |
|
|
Depth Estimation (HP)
|
92% |
48022
372.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
85835
668.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8684
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
162028
208.3 IPS |
|
|
Style Transfer (Q)
|
98% |
288476
372.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1797
66.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27976
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53572
1.98 KIPS |
|
|
Text Classification (SP)
|
100% |
1854
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1795
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
3501
4.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2773
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4089
70.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5787
99.7 IPS |
