HP OMEN by HP 25L Gaming Desktop GT14-2xxx
Geekbench AI Score
31053
Single Precision Score
45716
Half Precision Score
23785
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | deutros |
| Upload Date | March 27 2025 01:16 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN by HP 25L Gaming Desktop GT14-2xxx |
| Motherboard | HP 8B1D |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12416
2.31 KIPS |
|
|
Image Classification (HP)
|
99% |
17079
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
10758
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21102
342.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
27824
451.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
19021
309.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
190348
222.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
455690
531.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
171310
200.7 IPS |
|
|
Object Detection (SP)
|
100% |
14947
1.19 KIPS |
|
|
Object Detection (HP)
|
100% |
21445
1.70 KIPS |
|
|
Object Detection (Q)
|
85% |
12811
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
43521
517.1 IPS |
|
|
Face Detection (HP)
|
100% |
55551
660.1 IPS |
|
|
Face Detection (Q)
|
97% |
36785
438.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
78171
602.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
128046
989.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
59842
478.4 IPS |
|
|
Style Transfer (SP)
|
100% |
341803
439.4 IPS |
|
|
Style Transfer (HP)
|
100% |
795682
1.02 KIPS |
|
|
Style Transfer (Q)
|
98% |
295547
381.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49951
1.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63232
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36113
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
3474
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
4379
5.84 KIPS |
|
|
Text Classification (Q)
|
97% |
2102
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5543
95.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5479
94.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2613
49.0 IPS |
