HP OMEN 35L GT16-0xxx
Geekbench AI Score
5300
Single Precision Score
1683
Half Precision Score
8430
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 16 2025 08:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP OMEN 35L GT16-0xxx |
| Motherboard | HP 8CF1 |
| 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% |
4237
788.0 IPS |
|
|
Image Classification (HP)
|
100% |
607
112.8 IPS |
|
|
Image Classification (Q)
|
99% |
7297
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4105
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10030
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
4834
5.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
32921
38.6 IPS |
|
|
Object Detection (SP)
|
100% |
3858
306.0 IPS |
|
|
Object Detection (HP)
|
100% |
774
61.4 IPS |
|
|
Object Detection (Q)
|
86% |
7529
605.1 IPS |
|
|
Face Detection (SP)
|
100% |
11456
136.1 IPS |
|
|
Face Detection (HP)
|
100% |
1883
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
11828
141.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11943
92.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2143
16.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17990
143.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22765
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11559
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29165
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3557
131.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2197
81.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5430
201.1 IPS |
|
|
Text Classification (SP)
|
100% |
1884
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
798
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1916
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2359
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3785
76.1 IPS |
