HP OMEN by HP 45L Gaming Desktop GT22-1xxx
Geekbench AI Score
4334
Single Precision Score
843
Half Precision Score
4843
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | JLeo |
| Upload Date | August 20 2024 12:52 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN by HP 45L Gaming Desktop GT22-1xxx |
| Motherboard | HP 8A96 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2390
444.5 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.4 IPS |
|
|
Image Classification (Q)
|
99% |
4109
766.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2199
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
3211
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10621
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4666
5.44 IPS |
|
|
Pose Estimation (Q)
|
95% |
32440
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
2762
219.1 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
88% |
2336
187.3 IPS |
|
|
Face Detection (SP)
|
100% |
4631
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
324
3.85 IPS |
|
|
Face Detection (Q)
|
97% |
4517
53.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9860
76.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1017
7.83 IPS |
|
|
Depth Estimation (Q)
|
76% |
10218
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24113
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11834
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
24842
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3857
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2203
81.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4639
171.8 IPS |
|
|
Text Classification (SP)
|
100% |
1773
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
668
891.5 IPS |
|
|
Text Classification (Q)
|
97% |
520
695.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2017
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2568
57.3 IPS |
