HP HP ENVY Laptop 16-h1xxx
Geekbench AI Score
2669
Single Precision Score
992
Half Precision Score
4493
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ongoliard |
| Upload Date | May 22 2025 03:26 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP ENVY Laptop 16-h1xxx |
| Motherboard | HP 8BE5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2023
376.2 IPS |
|
|
Image Classification (HP)
|
100% |
375
69.8 IPS |
|
|
Image Classification (Q)
|
99% |
3720
693.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1175
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
608
9.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
2135
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4324
5.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2643
3.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
15348
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
1951
154.8 IPS |
|
|
Object Detection (HP)
|
100% |
457
36.3 IPS |
|
|
Object Detection (Q)
|
86% |
3905
313.9 IPS |
|
|
Face Detection (SP)
|
100% |
5609
66.6 IPS |
|
|
Face Detection (HP)
|
100% |
1143
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
6173
73.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5744
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1396
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
9551
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10552
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6398
8.23 IPS |
|
|
Style Transfer (Q)
|
98% |
17822
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1827
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1242
45.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2803
103.8 IPS |
|
|
Text Classification (SP)
|
100% |
1035
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
516
688.5 IPS |
|
|
Text Classification (Q)
|
97% |
1164
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1428
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
515
8.88 IPS |
|
|
Machine Translation (Q)
|
65% |
2055
41.3 IPS |
