HP OMEN by HP Transcend Gaming Laptop 16-u0xxx
Geekbench AI Score
17511
Single Precision Score
28567
Half Precision Score
13549
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | AndyMcSchopf |
| Upload Date | January 07 2025 02:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN by HP Transcend Gaming Laptop 16-u0xxx |
| Motherboard | HP 8BB3 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7039
1.31 KIPS |
|
|
Image Classification (HP)
|
99% |
11688
2.18 KIPS |
|
|
Image Classification (Q)
|
100% |
6136
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11338
183.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14550
235.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10640
173.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
102339
119.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
281260
328.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
89618
105.0 IPS |
|
|
Object Detection (SP)
|
100% |
8386
665.2 IPS |
|
|
Object Detection (HP)
|
100% |
14252
1.13 KIPS |
|
|
Object Detection (Q)
|
85% |
7561
608.7 IPS |
|
|
Face Detection (SP)
|
100% |
20862
247.9 IPS |
|
|
Face Detection (HP)
|
100% |
32523
386.4 IPS |
|
|
Face Detection (Q)
|
97% |
18655
222.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
41199
317.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
76922
592.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
32096
256.5 IPS |
|
|
Style Transfer (SP)
|
100% |
165992
213.4 IPS |
|
|
Style Transfer (HP)
|
100% |
409261
526.1 IPS |
|
|
Style Transfer (Q)
|
98% |
145863
188.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31707
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43944
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22899
847.9 IPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
3736
4.99 KIPS |
|
|
Text Classification (Q)
|
97% |
1544
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2949
50.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3159
54.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1527
28.6 IPS |
