HP HP Elite x360 1040 14 inch G11 2-in-1 Notebook PC
Geekbench AI Score
2865
Single Precision Score
2858
Half Precision Score
6619
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 09:25 PM |
| Views | 4 |
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% |
1518
282.3 IPS |
|
|
Image Classification (HP)
|
100% |
1649
306.7 IPS |
|
|
Image Classification (Q)
|
100% |
4918
914.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2778
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2800
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4648
75.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3976
4.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3605
4.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
12501
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (HP)
|
100% |
1372
108.8 IPS |
|
|
Object Detection (Q)
|
88% |
4247
340.5 IPS |
|
|
Face Detection (SP)
|
100% |
4807
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
4848
57.6 IPS |
|
|
Face Detection (Q)
|
100% |
9473
112.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4206
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4601
35.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
11858
92.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10508
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10295
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30634
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2121
78.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2125
78.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6734
249.4 IPS |
|
|
Text Classification (SP)
|
100% |
1870
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2016
2.69 KIPS |
|
|
Text Classification (Q)
|
92% |
3395
4.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1952
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1621
27.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1693
29.2 IPS |
