HP OMEN 35L GT16-0xxx
Geekbench AI Score
6118
Single Precision Score
6010
Half Precision Score
14554
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | plovlife |
| Upload Date | April 26 2025 07:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
4407
819.5 IPS |
|
|
Image Classification (HP)
|
100% |
4394
817.2 IPS |
|
|
Image Classification (Q)
|
100% |
9742
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5775
93.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5911
95.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10403
168.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5538
6.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
5327
6.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
25595
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
2505
198.7 IPS |
|
|
Object Detection (HP)
|
100% |
3825
303.4 IPS |
|
|
Object Detection (Q)
|
88% |
9764
782.7 IPS |
|
|
Face Detection (SP)
|
100% |
11870
141.0 IPS |
|
|
Face Detection (HP)
|
100% |
10277
122.1 IPS |
|
|
Face Detection (Q)
|
100% |
22480
267.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10377
79.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9306
71.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
26874
209.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20279
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20461
26.3 IPS |
|
|
Style Transfer (Q)
|
98% |
74861
96.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5103
188.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3254
120.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16074
595.3 IPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3757
5.01 KIPS |
|
|
Text Classification (Q)
|
92% |
4813
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4429
76.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4858
83.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4814
82.9 IPS |
