HP HP Elite x360 1040 14 inch G11 2-in-1 Notebook PC
Geekbench AI Score
2884
Single Precision Score
2815
Half Precision Score
6598
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 26 2025 03:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Elite x360 1040 14 inch G11 2-in-1 Notebook PC |
| Motherboard | HP 8C52 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1665
309.7 IPS |
|
|
Image Classification (HP)
|
100% |
1692
314.6 IPS |
|
|
Image Classification (Q)
|
100% |
4871
905.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2572
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2388
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4021
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4252
4.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
4097
4.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
12533
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.1 IPS |
|
|
Object Detection (HP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (Q)
|
88% |
4546
364.4 IPS |
|
|
Face Detection (SP)
|
100% |
4769
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
4877
57.9 IPS |
|
|
Face Detection (Q)
|
100% |
9867
117.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4400
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4158
32.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
11003
85.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10212
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9754
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
34169
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1907
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1993
73.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6345
235.0 IPS |
|
|
Text Classification (SP)
|
100% |
1747
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1667
2.23 KIPS |
|
|
Text Classification (Q)
|
92% |
3223
4.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2024
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1854
31.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1847
31.8 IPS |
