HP HP ENVY Laptop 16-h1xxx
Geekbench AI Score
15925
Single Precision Score
26737
Half Precision Score
12250
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 03:50 PM |
| Views | 2 |
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% |
6388
1.19 KIPS |
|
|
Image Classification (HP)
|
99% |
10552
1.97 KIPS |
|
|
Image Classification (Q)
|
100% |
5613
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10191
165.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13681
221.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9742
158.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
85879
100.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
236335
275.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
75898
88.9 IPS |
|
|
Object Detection (SP)
|
100% |
7709
611.5 IPS |
|
|
Object Detection (HP)
|
100% |
13731
1.09 KIPS |
|
|
Object Detection (Q)
|
89% |
6512
521.2 IPS |
|
|
Face Detection (SP)
|
100% |
17350
206.2 IPS |
|
|
Face Detection (HP)
|
100% |
27074
321.7 IPS |
|
|
Face Detection (Q)
|
97% |
14511
173.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
34318
264.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
74048
570.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
29526
237.2 IPS |
|
|
Style Transfer (SP)
|
100% |
141565
182.0 IPS |
|
|
Style Transfer (HP)
|
100% |
352512
453.2 IPS |
|
|
Style Transfer (Q)
|
98% |
128139
165.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27596
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43061
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20073
743.3 IPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
3746
5.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1790
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3265
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3496
60.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1428
31.8 IPS |
