HP HP Elite x360 1040 14 inch G10 2-in-1 Notebook PC
Geekbench AI Score
2832
Single Precision Score
2784
Half Precision Score
1742
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 07:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Elite x360 1040 14 inch G10 2-in-1 Notebook PC |
| Motherboard | HP 8B41 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1365U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1228
228.4 IPS |
|
|
Image Classification (HP)
|
100% |
1216
226.1 IPS |
|
|
Image Classification (Q)
|
100% |
978
181.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1944
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1361
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11203
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
11516
13.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
5670
6.64 IPS |
|
|
Object Detection (SP)
|
100% |
1331
105.6 IPS |
|
|
Object Detection (HP)
|
98% |
1212
96.4 IPS |
|
|
Object Detection (Q)
|
86% |
1143
91.9 IPS |
|
|
Face Detection (SP)
|
100% |
2809
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
3301
39.2 IPS |
|
|
Face Detection (Q)
|
97% |
2016
24.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5573
42.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
6159
47.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
3887
31.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24081
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
30284
38.9 IPS |
|
|
Style Transfer (Q)
|
98% |
14910
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3269
120.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4105
151.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1390
51.5 IPS |
|
|
Text Classification (SP)
|
100% |
838
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
349
465.7 IPS |
|
|
Text Classification (Q)
|
97% |
414
554.9 IPS |
|
|
Machine Translation (SP)
|
100% |
903
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (Q)
|
70% |
446
8.36 IPS |
