HP HP Elite x360 1040 14 inch G11 2-in-1 Notebook PC
Geekbench AI Score
2879
Single Precision Score
2864
Half Precision Score
6771
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 09:19 PM |
| Views | 6 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1497
278.4 IPS |
|
|
Image Classification (HP)
|
100% |
1616
300.6 IPS |
|
|
Image Classification (Q)
|
100% |
4945
919.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2281
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2812
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4661
75.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4014
4.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3607
4.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
12731
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (HP)
|
100% |
1414
112.2 IPS |
|
|
Object Detection (Q)
|
88% |
4471
358.4 IPS |
|
|
Face Detection (SP)
|
100% |
4848
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
4955
58.9 IPS |
|
|
Face Detection (Q)
|
100% |
9863
117.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4989
38.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4669
36.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
11236
87.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10460
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9987
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
32773
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2150
79.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2134
78.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7024
260.1 IPS |
|
|
Text Classification (SP)
|
100% |
1841
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1892
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
3466
4.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2036
35.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1722
29.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1748
30.1 IPS |
