HP OMEN Transcend Gaming Laptop 14-fb0xxx
Geekbench AI Score
3724
Single Precision Score
3995
Half Precision Score
2653
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Ib1345 |
| Upload Date | August 30 2024 05:09 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN Transcend Gaming Laptop 14-fb0xxx |
| Motherboard | HP 8C58 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1806
335.8 IPS |
|
|
Image Classification (HP)
|
100% |
1905
354.3 IPS |
|
|
Image Classification (Q)
|
100% |
1492
277.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2638
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2985
48.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2186
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12727
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20364
23.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
10024
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1992
158.0 IPS |
|
|
Object Detection (HP)
|
98% |
1859
147.9 IPS |
|
|
Object Detection (Q)
|
89% |
1640
131.2 IPS |
|
|
Face Detection (SP)
|
100% |
3648
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
4432
52.7 IPS |
|
|
Face Detection (Q)
|
97% |
2653
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7557
58.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8345
64.5 IPS |
|
|
Depth Estimation (Q)
|
73% |
5643
46.2 IPS |
|
|
Style Transfer (SP)
|
100% |
34713
44.6 IPS |
|
|
Style Transfer (HP)
|
100% |
43410
55.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25889
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5885
217.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6080
224.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3197
118.4 IPS |
|
|
Text Classification (SP)
|
86% |
653
883.0 IPS |
|
|
Text Classification (HP)
|
99% |
461
615.2 IPS |
|
|
Text Classification (Q)
|
83% |
482
655.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1156
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (Q)
|
60% |
540
12.0 IPS |
