HP OMEN by HP 45L Gaming Desktop GT22-1xxx
Geekbench AI Score
35281
Single Precision Score
48183
Half Precision Score
26636
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | JLeo |
| Upload Date | August 20 2024 01:09 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| 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% |
13641
2.54 KIPS |
|
|
Image Classification (HP)
|
99% |
17837
3.33 KIPS |
|
|
Image Classification (Q)
|
100% |
11337
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18626
301.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22130
358.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17395
282.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
300844
351.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
514165
599.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
261424
306.1 IPS |
|
|
Object Detection (SP)
|
100% |
17715
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
22768
1.81 KIPS |
|
|
Object Detection (Q)
|
89% |
15105
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
42791
508.4 IPS |
|
|
Face Detection (HP)
|
100% |
51129
607.5 IPS |
|
|
Face Detection (Q)
|
97% |
36863
439.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
91837
707.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
157588
1.21 KIPS |
|
|
Depth Estimation (Q)
|
75% |
66931
540.3 IPS |
|
|
Style Transfer (SP)
|
100% |
555237
713.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1071825
1.38 KIPS |
|
|
Style Transfer (Q)
|
98% |
476629
614.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60191
2.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81470
3.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44173
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
3843
5.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4916
6.56 KIPS |
|
|
Text Classification (Q)
|
97% |
2255
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4373
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4220
72.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1971
44.0 IPS |
