HP OMEN by HP Transcend Gaming Laptop 16-u0xxx
Geekbench AI Score
3263
Single Precision Score
947
Half Precision Score
4791
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | neotrope |
| Upload Date | December 07 2024 12:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP OMEN by HP Transcend Gaming Laptop 16-u0xxx |
| Motherboard | HP 8BB3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2580
479.8 IPS |
|
|
Image Classification (HP)
|
100% |
403
75.0 IPS |
|
|
Image Classification (Q)
|
99% |
3941
735.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1499
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2730
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6989
8.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2023
2.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
22157
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
473
37.6 IPS |
|
|
Object Detection (Q)
|
86% |
3463
278.3 IPS |
|
|
Face Detection (SP)
|
100% |
6993
83.1 IPS |
|
|
Face Detection (HP)
|
100% |
1168
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
7965
95.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7020
54.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1238
9.54 IPS |
|
|
Depth Estimation (Q)
|
78% |
11767
93.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14753
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
5050
6.49 IPS |
|
|
Style Transfer (Q)
|
98% |
20405
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2380
87.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1004
37.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3921
145.2 IPS |
|
|
Text Classification (SP)
|
100% |
917
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
523
697.7 IPS |
|
|
Text Classification (Q)
|
97% |
486
650.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1294
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
585
10.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2122
42.6 IPS |
