HP OMEN by HP 45L Gaming Desktop GT22-2xxx
Geekbench ML Score
26685
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 25 2024 12:54 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN by HP 45L Gaming Desktop GT22-2xxx |
| Motherboard | HP 8A96 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 14 |
| L1 Data Cache | 48.0 KB x 14 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 33.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10099
1.89 KIPS |
|
|
Image Classification (F16)
|
100% |
11896
2.23 KIPS |
|
|
Image Classification (I8)
|
100% |
10236
1.92 KIPS |
|
|
Image Segmentation (F32)
|
100% |
16350
273.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
16503
275.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
15650
261.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
280882
340.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
277270
335.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
245312
297.1 IPS |
|
|
Object Detection (F32)
|
100% |
8215
613.3 IPS |
|
|
Object Detection (F16)
|
100% |
7980
595.7 IPS |
|
|
Object Detection (I8)
|
54% |
7160
534.5 IPS |
|
|
Face Detection (F32)
|
100% |
39672
471.7 IPS |
|
|
Face Detection (F16)
|
100% |
39410
468.6 IPS |
|
|
Face Detection (I8)
|
88% |
33628
399.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
80885
627.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
80932
627.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
61468
476.7 IPS |
|
|
Style Transfer (F32)
|
100% |
477124
627.6 IPS |
|
|
Style Transfer (F16)
|
100% |
469308
617.3 IPS |
|
|
Style Transfer (I8)
|
98% |
419607
552.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
50229
1.79 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
46365
1.66 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
38030
1.36 KIPS |
|
|
Text Classification (F32)
|
100% |
3108
4.47 KIPS |
|
|
Text Classification (F16)
|
100% |
3095
4.45 KIPS |
|
|
Text Classification (I8)
|
98% |
1871
2.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
4155
76.5 IPS |
|
|
Machine Translation (F16)
|
100% |
4219
77.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2375
43.7 IPS |
