HP HP ENVY Laptop 16-h0xxx
Geekbench AI Score
3042
Single Precision Score
1274
Half Precision Score
5723
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 04:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ENVY Laptop 16-h0xxx |
| Motherboard | HP 8A2C |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2282
424.3 IPS |
|
|
Image Classification (HP)
|
100% |
508
94.4 IPS |
|
|
Image Classification (Q)
|
99% |
4242
791.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
849
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6390
103.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4734
5.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3037
3.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
15907
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2133
169.2 IPS |
|
|
Object Detection (HP)
|
100% |
615
48.8 IPS |
|
|
Object Detection (Q)
|
86% |
4857
390.4 IPS |
|
|
Face Detection (SP)
|
100% |
6178
73.4 IPS |
|
|
Face Detection (HP)
|
100% |
1466
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
7359
87.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6037
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1786
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10863
86.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11532
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7529
9.68 IPS |
|
|
Style Transfer (Q)
|
98% |
19720
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2170
80.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1502
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3827
141.7 IPS |
|
|
Text Classification (SP)
|
100% |
1236
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
618
824.3 IPS |
|
|
Text Classification (Q)
|
97% |
1210
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1757
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
768
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2466
49.6 IPS |
