HP OMEN Transcend Gaming Laptop 14-fb0xxx
Geekbench AI Score
3728
Single Precision Score
4006
Half Precision Score
2654
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Ib1345 |
| Upload Date | August 30 2024 05:11 PM |
| Views | 7 |
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% |
1815
337.5 IPS |
|
|
Image Classification (HP)
|
100% |
1908
354.9 IPS |
|
|
Image Classification (Q)
|
100% |
1493
277.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2649
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2995
48.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2189
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12582
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
20417
23.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
10075
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
2008
159.2 IPS |
|
|
Object Detection (HP)
|
98% |
1863
148.2 IPS |
|
|
Object Detection (Q)
|
89% |
1643
131.5 IPS |
|
|
Face Detection (SP)
|
100% |
3688
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
4483
53.3 IPS |
|
|
Face Detection (Q)
|
97% |
2670
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7465
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8397
64.9 IPS |
|
|
Depth Estimation (Q)
|
73% |
5716
46.8 IPS |
|
|
Style Transfer (SP)
|
100% |
34733
44.7 IPS |
|
|
Style Transfer (HP)
|
100% |
43622
56.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25438
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5912
218.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6087
224.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3191
118.1 IPS |
|
|
Text Classification (SP)
|
86% |
651
880.8 IPS |
|
|
Text Classification (HP)
|
99% |
454
606.1 IPS |
|
|
Text Classification (Q)
|
83% |
480
654.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (Q)
|
60% |
540
12.1 IPS |
