HP HP ENVY Laptop 16-h1xxx
Geekbench AI Score
4728
Single Precision Score
4666
Half Precision Score
11005
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 10:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
3068
570.6 IPS |
|
|
Image Classification (HP)
|
100% |
3113
578.9 IPS |
|
|
Image Classification (Q)
|
100% |
7004
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3946
64.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4036
65.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7438
120.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5956
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
5946
6.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
21844
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
3013
239.0 IPS |
|
|
Object Detection (HP)
|
100% |
3058
242.6 IPS |
|
|
Object Detection (Q)
|
88% |
7351
589.3 IPS |
|
|
Face Detection (SP)
|
100% |
6263
74.4 IPS |
|
|
Face Detection (HP)
|
100% |
5466
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
10917
129.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7778
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4628
35.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
18868
146.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10877
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17475
22.5 IPS |
|
|
Style Transfer (Q)
|
98% |
61001
78.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3807
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3784
139.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11797
436.9 IPS |
|
|
Text Classification (SP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2794
3.73 KIPS |
|
|
Text Classification (Q)
|
92% |
4578
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4416
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4589
79.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4594
79.1 IPS |
