HP HP ENVY Laptop 16-h1xxx
Geekbench AI Score
16636
Single Precision Score
28102
Half Precision Score
12937
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 10:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ENVY Laptop 16-h1xxx |
| Motherboard | HP 8BE5 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6163
1.15 KIPS |
|
|
Image Classification (HP)
|
99% |
10852
2.02 KIPS |
|
|
Image Classification (Q)
|
99% |
5714
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11788
191.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16504
267.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10702
174.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
83303
97.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
234956
274.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
71451
83.7 IPS |
|
|
Object Detection (SP)
|
100% |
8193
649.9 IPS |
|
|
Object Detection (HP)
|
100% |
14692
1.17 KIPS |
|
|
Object Detection (Q)
|
84% |
7184
579.4 IPS |
|
|
Face Detection (SP)
|
100% |
20697
245.9 IPS |
|
|
Face Detection (HP)
|
100% |
32674
388.2 IPS |
|
|
Face Detection (Q)
|
97% |
17885
213.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
39417
303.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
72948
562.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
33027
264.2 IPS |
|
|
Style Transfer (SP)
|
100% |
129128
166.0 IPS |
|
|
Style Transfer (HP)
|
100% |
334024
429.4 IPS |
|
|
Style Transfer (Q)
|
98% |
120456
155.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25354
936.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41466
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19651
727.7 IPS |
|
|
Text Classification (SP)
|
100% |
3132
4.18 KIPS |
|
|
Text Classification (HP)
|
99% |
3631
4.85 KIPS |
|
|
Text Classification (Q)
|
97% |
1658
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3916
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4146
71.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1806
33.9 IPS |
