HP OMEN Transcend Gaming Laptop 14-fb0xxx
Geekbench AI Score
2945
Single Precision Score
2965
Half Precision Score
8210
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Ib1345 |
| Upload Date | August 30 2024 05:04 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| 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% |
1919
356.8 IPS |
|
|
Image Classification (HP)
|
100% |
1885
350.5 IPS |
|
|
Image Classification (Q)
|
100% |
4971
924.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2650
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2609
42.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4667
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4877
5.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
4590
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
16887
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (HP)
|
100% |
1872
148.5 IPS |
|
|
Object Detection (Q)
|
88% |
5051
404.9 IPS |
|
|
Face Detection (SP)
|
100% |
5779
68.7 IPS |
|
|
Face Detection (HP)
|
100% |
5716
67.9 IPS |
|
|
Face Detection (Q)
|
100% |
11522
136.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5589
43.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
5653
43.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
13242
104.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14276
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14455
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
44086
56.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2460
90.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2447
90.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8682
321.5 IPS |
|
|
Text Classification (SP)
|
100% |
540
720.4 IPS |
|
|
Text Classification (HP)
|
100% |
579
773.4 IPS |
|
|
Text Classification (Q)
|
92% |
3119
4.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1879
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1882
32.4 IPS |
|
|
Machine Translation (Q)
|
85% |
3861
67.6 IPS |
