HP OMEN by HP 45L Gaming Desktop GT22-1xxx
Geekbench AI Score
2583
Single Precision Score
3704
Half Precision Score
5689
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | JLeo |
| Upload Date | August 20 2024 12:57 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| 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% |
1701
316.3 IPS |
|
|
Image Classification (HP)
|
100% |
2792
519.2 IPS |
|
|
Image Classification (Q)
|
99% |
2773
517.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2483
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3972
64.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5647
91.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4410
5.15 IPS |
|
|
Pose Estimation (HP)
|
99% |
3298
3.85 IPS |
|
|
Pose Estimation (Q)
|
97% |
13631
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1491
118.3 IPS |
|
|
Object Detection (HP)
|
98% |
2444
194.5 IPS |
|
|
Object Detection (Q)
|
90% |
4443
355.3 IPS |
|
|
Face Detection (SP)
|
100% |
5006
59.5 IPS |
|
|
Face Detection (HP)
|
100% |
8073
95.9 IPS |
|
|
Face Detection (Q)
|
100% |
11143
132.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5034
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8815
68.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
12946
102.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11735
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20187
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
30720
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2089
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3450
127.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7131
264.1 IPS |
|
|
Text Classification (SP)
|
71% |
814
1.18 KIPS |
|
|
Text Classification (HP)
|
71% |
881
1.27 KIPS |
|
|
Text Classification (Q)
|
92% |
800
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1246
21.5 IPS |
|
|
Machine Translation (Q)
|
89% |
1483
25.8 IPS |
