HP HP Envy x360 2-in-1 Laptop 16-ac0xxx
Geekbench AI Score
682
Single Precision Score
344
Half Precision Score
1341
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 03:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP HP Envy x360 2-in-1 Laptop 16-ac0xxx |
| Motherboard | HP 8C66 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1571
292.1 IPS |
|
|
Image Classification (HP)
|
100% |
399
74.2 IPS |
|
|
Image Classification (Q)
|
99% |
3779
704.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
616
9.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
427
6.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
1317
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1217
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
940
1.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
3721
4.36 IPS |
|
|
Object Detection (SP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (HP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (Q)
|
86% |
542
43.6 IPS |
|
|
Face Detection (SP)
|
100% |
880
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
296
3.52 IPS |
|
|
Face Detection (Q)
|
97% |
1143
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1045
8.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
446
3.44 IPS |
|
|
Depth Estimation (Q)
|
78% |
1570
12.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2975
3.82 IPS |
|
|
Style Transfer (HP)
|
100% |
2213
2.85 IPS |
|
|
Style Transfer (Q)
|
98% |
6638
8.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
363
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
283
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1228
45.5 IPS |
|
|
Text Classification (SP)
|
100% |
176
235.4 IPS |
|
|
Text Classification (HP)
|
100% |
92
123.4 IPS |
|
|
Text Classification (Q)
|
97% |
258
346.3 IPS |
|
|
Machine Translation (SP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (HP)
|
100% |
150
2.58 IPS |
|
|
Machine Translation (Q)
|
65% |
500
10.1 IPS |
