HP OMEN 35L GT16-0xxx
Geekbench AI Score
4163
Single Precision Score
1432
Half Precision Score
6889
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | plovlife |
| Upload Date | April 26 2025 09:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP OMEN 35L GT16-0xxx |
| Motherboard | HP 8CF1 |
| Power Plan | Razer Cortex Power Plan |
| 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% |
4091
760.8 IPS |
|
|
Image Classification (HP)
|
100% |
608
113.1 IPS |
|
|
Image Classification (Q)
|
99% |
7373
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2253
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1082
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4000
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6255
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
3421
3.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
23832
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
3669
291.0 IPS |
|
|
Object Detection (HP)
|
100% |
633
50.2 IPS |
|
|
Object Detection (Q)
|
86% |
4456
358.1 IPS |
|
|
Face Detection (SP)
|
100% |
5909
70.2 IPS |
|
|
Face Detection (HP)
|
100% |
1433
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
7780
92.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7050
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1792
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
15887
126.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13465
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9361
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22496
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3701
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1925
71.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4551
168.5 IPS |
|
|
Text Classification (SP)
|
100% |
1795
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
820
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1643
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1987
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3699
74.3 IPS |
