HP OMEN by HP 45L Gaming Desktop GT22-1xxx
Geekbench AI Score
1753
Single Precision Score
1794
Half Precision Score
1151
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | JLeo |
| Upload Date | August 20 2024 01:06 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| 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% |
735
136.6 IPS |
|
|
Image Classification (HP)
|
100% |
749
139.3 IPS |
|
|
Image Classification (Q)
|
100% |
592
110.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1082
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1224
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
825
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5403
6.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
6181
7.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
3696
4.33 IPS |
|
|
Object Detection (SP)
|
100% |
819
64.9 IPS |
|
|
Object Detection (HP)
|
98% |
702
55.9 IPS |
|
|
Object Detection (Q)
|
89% |
676
54.1 IPS |
|
|
Face Detection (SP)
|
100% |
1523
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1653
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
1078
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3128
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3510
27.1 IPS |
|
|
Depth Estimation (Q)
|
73% |
2257
18.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11378
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15569
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8500
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1915
70.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2787
102.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
987
36.5 IPS |
|
|
Text Classification (SP)
|
100% |
958
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
453
604.4 IPS |
|
|
Text Classification (Q)
|
97% |
468
626.3 IPS |
|
|
Machine Translation (SP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
764
13.2 IPS |
|
|
Machine Translation (Q)
|
60% |
351
7.83 IPS |
