HP HP ENVY Laptop 16-h1xxx
Geekbench AI Score
3964
Single Precision Score
1440
Half Precision Score
6878
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 10:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700H |
| 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% |
2992
556.4 IPS |
|
|
Image Classification (HP)
|
100% |
552
102.7 IPS |
|
|
Image Classification (Q)
|
99% |
5876
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1855
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
991
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3499
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6542
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3679
4.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
22352
26.2 IPS |
|
|
Object Detection (SP)
|
100% |
2950
234.0 IPS |
|
|
Object Detection (HP)
|
100% |
659
52.3 IPS |
|
|
Object Detection (Q)
|
86% |
6214
499.4 IPS |
|
|
Face Detection (SP)
|
100% |
7787
92.5 IPS |
|
|
Face Detection (HP)
|
100% |
1588
18.9 IPS |
|
|
Face Detection (Q)
|
97% |
9783
116.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8442
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1945
15.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
14895
118.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15051
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9722
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
24068
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2741
101.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1870
69.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4461
165.2 IPS |
|
|
Text Classification (SP)
|
100% |
1588
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
724
966.4 IPS |
|
|
Text Classification (Q)
|
97% |
1646
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2081
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3223
64.8 IPS |
