HP HP Elite x360 1040 14 inch G11 2-in-1 Notebook PC
Geekbench AI Score
3097
Single Precision Score
3148
Half Precision Score
7342
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 26 2025 05:46 AM |
| Views | 5 |
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% |
1635
304.0 IPS |
|
|
Image Classification (HP)
|
100% |
1683
313.0 IPS |
|
|
Image Classification (Q)
|
100% |
4865
904.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2935
47.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2918
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5350
86.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4471
5.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
4016
4.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
13363
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (HP)
|
100% |
1606
127.4 IPS |
|
|
Object Detection (Q)
|
88% |
4643
372.2 IPS |
|
|
Face Detection (SP)
|
100% |
4943
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
5367
63.8 IPS |
|
|
Face Detection (Q)
|
100% |
10520
125.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4571
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4643
35.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
12071
93.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11358
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11217
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
37176
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2239
82.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2246
82.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7715
285.7 IPS |
|
|
Text Classification (SP)
|
100% |
1924
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1904
2.54 KIPS |
|
|
Text Classification (Q)
|
92% |
3332
4.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2169
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2530
43.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2324
40.0 IPS |
