HP HP Elite x360 1040 14 inch G11 2-in-1 Notebook PC
Geekbench AI Score
8657
Single Precision Score
13843
Half Precision Score
20891
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 09:43 PM |
| Views | 5 |
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% |
6024
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
8939
1.66 KIPS |
|
|
Image Classification (Q)
|
100% |
10620
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5384
87.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13659
221.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19666
318.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
23385
27.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
23457
27.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
79247
92.8 IPS |
|
|
Object Detection (SP)
|
100% |
5746
455.8 IPS |
|
|
Object Detection (HP)
|
100% |
9485
752.3 IPS |
|
|
Object Detection (Q)
|
88% |
13606
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
10961
130.2 IPS |
|
|
Face Detection (HP)
|
100% |
22394
266.1 IPS |
|
|
Face Detection (Q)
|
100% |
36908
438.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20930
161.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
35578
275.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
40408
314.1 IPS |
|
|
Style Transfer (SP)
|
100% |
56059
72.1 IPS |
|
|
Style Transfer (HP)
|
100% |
71222
91.6 IPS |
|
|
Style Transfer (Q)
|
98% |
186751
240.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9339
344.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16457
607.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24464
906.0 IPS |
|
|
Text Classification (SP)
|
71% |
1581
2.29 KIPS |
|
|
Text Classification (HP)
|
71% |
2435
3.52 KIPS |
|
|
Text Classification (Q)
|
92% |
2451
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2858
49.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4186
72.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4212
72.8 IPS |
