Durabook R10
Geekbench AI Score
2390
Single Precision Score
17635
Half Precision Score
32269
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 02:43 AM |
| Views | 4 |
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% |
1539
286.2 IPS |
|
|
Image Classification (HP)
|
100% |
7072
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
12917
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1786
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14072
228.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24610
398.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2675
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
87412
102.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
185154
216.9 IPS |
|
|
Object Detection (SP)
|
100% |
1209
95.9 IPS |
|
|
Object Detection (HP)
|
100% |
10217
810.5 IPS |
|
|
Object Detection (Q)
|
88% |
15721
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
4126
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
26356
313.2 IPS |
|
|
Face Detection (Q)
|
100% |
36144
429.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3440
26.5 IPS |
|
|
Depth Estimation (HP)
|
92% |
48844
378.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
83119
646.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8182
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
155520
199.9 IPS |
|
|
Style Transfer (Q)
|
98% |
310708
400.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1637
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29672
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45092
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
1695
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1335
1.78 KIPS |
|
|
Text Classification (Q)
|
92% |
3251
4.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2130
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4128
71.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9671
166.6 IPS |
