HP HP Elite x360 1040 14 inch G11 2-in-1 Notebook PC
Geekbench AI Score
2580
Single Precision Score
1015
Half Precision Score
4334
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 26 2025 03:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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 | Balanced |
| 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% |
2611
485.6 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.3 IPS |
|
|
Image Classification (Q)
|
99% |
4986
930.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
793
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5148
83.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5268
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3273
3.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
17507
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2222
176.3 IPS |
|
|
Object Detection (HP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (Q)
|
86% |
4424
355.6 IPS |
|
|
Face Detection (SP)
|
100% |
5048
60.0 IPS |
|
|
Face Detection (HP)
|
100% |
711
8.45 IPS |
|
|
Face Detection (Q)
|
97% |
4090
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2934
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
818
6.30 IPS |
|
|
Depth Estimation (Q)
|
78% |
8344
66.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8478
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6799
8.74 IPS |
|
|
Style Transfer (Q)
|
98% |
15457
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1609
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1227
45.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3208
118.8 IPS |
|
|
Text Classification (SP)
|
100% |
947
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
518
690.8 IPS |
|
|
Text Classification (Q)
|
97% |
332
444.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1392
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2094
42.1 IPS |
