HP OMEN by HP Transcend Gaming Laptop 16-u1xxx
Geekbench ML Score
3697
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 27 2024 06:03 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP OMEN by HP Transcend Gaming Laptop 16-u1xxx |
| Motherboard | HP 8C4D |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1889
353.5 IPS |
|
|
Image Classification (F16)
|
100% |
1980
370.5 IPS |
|
|
Image Classification (I8)
|
99% |
3119
583.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1659
27.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1650
27.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2508
41.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
8371
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
8211
9.94 IPS |
|
|
Pose Estimation (I8)
|
100% |
25128
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
1940
144.8 IPS |
|
|
Object Detection (F16)
|
100% |
1831
136.7 IPS |
|
|
Object Detection (I8)
|
62% |
1569
117.2 IPS |
|
|
Face Detection (F32)
|
100% |
4232
50.3 IPS |
|
|
Face Detection (F16)
|
100% |
4192
49.8 IPS |
|
|
Face Detection (I8)
|
89% |
4234
50.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
7935
61.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
7968
61.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
13131
101.8 IPS |
|
|
Style Transfer (F32)
|
100% |
18503
24.3 IPS |
|
|
Style Transfer (F16)
|
100% |
19086
25.1 IPS |
|
|
Style Transfer (I8)
|
98% |
22924
30.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3589
128.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3625
129.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4609
164.6 IPS |
|
|
Text Classification (F32)
|
100% |
1303
1.87 KIPS |
|
|
Text Classification (F16)
|
100% |
1287
1.85 KIPS |
|
|
Text Classification (I8)
|
98% |
369
530.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1729
31.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1788
32.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2431
44.7 IPS |
