HP OMEN Transcend Gaming Laptop 14-fb0xxx
Geekbench AI Score
3054
Single Precision Score
737
Half Precision Score
3843
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Ib1345 |
| Upload Date | August 30 2024 05:01 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1735
322.7 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.4 IPS |
|
|
Image Classification (Q)
|
99% |
3313
618.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1311
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
243
3.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
2472
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5985
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4068
4.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
21557
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
1995
158.2 IPS |
|
|
Object Detection (HP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (Q)
|
88% |
1723
138.1 IPS |
|
|
Face Detection (SP)
|
100% |
3816
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
290
3.45 IPS |
|
|
Face Detection (Q)
|
97% |
3695
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6594
50.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
918
7.07 IPS |
|
|
Depth Estimation (Q)
|
76% |
8094
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14436
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10214
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19987
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2618
96.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1832
67.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3812
141.1 IPS |
|
|
Text Classification (SP)
|
100% |
1602
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
568
757.7 IPS |
|
|
Text Classification (Q)
|
97% |
476
637.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1709
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2135
47.6 IPS |
