HP HP ENVY x360 2-in-1 Laptop 15-ew0xxx
Geekbench AI Score
1912
Single Precision Score
4633
Half Precision Score
1415
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 31 2025 07:43 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | HP HP ENVY x360 2-in-1 Laptop 15-ew0xxx |
| Motherboard | HP 8A2A |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1255U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
677
125.9 IPS |
|
|
Image Classification (HP)
|
99% |
2285
426.1 IPS |
|
|
Image Classification (Q)
|
99% |
620
115.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3391
55.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1073
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5277
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
20309
23.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
4747
5.56 IPS |
|
|
Object Detection (SP)
|
100% |
779
61.8 IPS |
|
|
Object Detection (HP)
|
100% |
2183
173.2 IPS |
|
|
Object Detection (Q)
|
84% |
646
52.1 IPS |
|
|
Face Detection (SP)
|
100% |
2044
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
3855
45.8 IPS |
|
|
Face Detection (Q)
|
97% |
1734
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3616
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9434
72.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
2651
21.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9791
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29825
38.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8413
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2250
83.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5060
186.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1421
52.6 IPS |
|
|
Text Classification (SP)
|
100% |
1125
1.50 KIPS |
|
|
Text Classification (HP)
|
99% |
1699
2.27 KIPS |
|
|
Text Classification (Q)
|
97% |
572
766.8 IPS |
|
|
Machine Translation (SP)
|
100% |
958
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1425
24.6 IPS |
|
|
Machine Translation (Q)
|
70% |
503
9.43 IPS |
