HP HP Elite x360 1040 14 inch G11 2-in-1 Notebook PC
Geekbench AI Score
8703
Single Precision Score
13816
Half Precision Score
20819
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 09:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
6074
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
8854
1.65 KIPS |
|
|
Image Classification (Q)
|
100% |
10628
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5396
87.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13591
220.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19659
318.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
23969
28.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
23390
27.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
79475
93.0 IPS |
|
|
Object Detection (SP)
|
100% |
5710
452.9 IPS |
|
|
Object Detection (HP)
|
100% |
9456
750.1 IPS |
|
|
Object Detection (Q)
|
88% |
13350
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
11038
131.2 IPS |
|
|
Face Detection (HP)
|
100% |
22359
265.7 IPS |
|
|
Face Detection (Q)
|
100% |
36329
431.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20862
160.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
35488
274.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
40135
312.0 IPS |
|
|
Style Transfer (SP)
|
100% |
55415
71.2 IPS |
|
|
Style Transfer (HP)
|
100% |
72410
93.1 IPS |
|
|
Style Transfer (Q)
|
98% |
184575
238.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9284
342.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16352
603.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23958
887.3 IPS |
|
|
Text Classification (SP)
|
71% |
1617
2.34 KIPS |
|
|
Text Classification (HP)
|
71% |
2452
3.55 KIPS |
|
|
Text Classification (Q)
|
92% |
2578
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2901
50.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4136
71.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4153
71.8 IPS |
