HP OMEN by HP 45L Gaming Desktop GT22-1xxx
Geekbench AI Score
4257
Single Precision Score
823
Half Precision Score
4867
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | JLeo |
| Upload Date | August 20 2024 01:01 AM |
| Views | 14 |
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% |
2226
414.0 IPS |
|
|
Image Classification (HP)
|
100% |
152
28.2 IPS |
|
|
Image Classification (Q)
|
99% |
4093
763.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
273
4.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
3164
51.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10651
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4672
5.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
31619
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
2761
219.0 IPS |
|
|
Object Detection (HP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (Q)
|
88% |
2271
182.1 IPS |
|
|
Face Detection (SP)
|
100% |
4425
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
319
3.79 IPS |
|
|
Face Detection (Q)
|
97% |
4363
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10243
78.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
958
7.38 IPS |
|
|
Depth Estimation (Q)
|
76% |
10862
87.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23975
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11602
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24440
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3752
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2215
81.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5112
189.3 IPS |
|
|
Text Classification (SP)
|
100% |
1712
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
649
866.3 IPS |
|
|
Text Classification (Q)
|
97% |
532
712.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1981
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2550
56.9 IPS |
