HP OMEN Transcend Gaming Laptop 14-fb0xxx
Geekbench AI Score
15339
Single Precision Score
24785
Half Precision Score
11725
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Ib1345 |
| Upload Date | August 30 2024 05:06 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| 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% |
5943
1.11 KIPS |
|
|
Image Classification (HP)
|
99% |
9531
1.78 KIPS |
|
|
Image Classification (Q)
|
100% |
5381
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10882
176.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14140
229.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9855
160.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
84921
99.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
246225
287.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
76122
89.1 IPS |
|
|
Object Detection (SP)
|
100% |
7331
581.5 IPS |
|
|
Object Detection (HP)
|
100% |
11770
933.6 IPS |
|
|
Object Detection (Q)
|
88% |
6453
517.5 IPS |
|
|
Face Detection (SP)
|
100% |
17416
206.9 IPS |
|
|
Face Detection (HP)
|
100% |
26209
311.4 IPS |
|
|
Face Detection (Q)
|
97% |
14512
173.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
35302
272.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
67463
519.8 IPS |
|
|
Depth Estimation (Q)
|
72% |
27772
229.5 IPS |
|
|
Style Transfer (SP)
|
100% |
139478
179.3 IPS |
|
|
Style Transfer (HP)
|
100% |
346872
445.9 IPS |
|
|
Style Transfer (Q)
|
98% |
127158
164.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27547
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38288
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19947
738.6 IPS |
|
|
Text Classification (SP)
|
100% |
2448
3.27 KIPS |
|
|
Text Classification (HP)
|
99% |
3023
4.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1452
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3098
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3156
54.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1271
28.3 IPS |
