HP OMEN 35L GT16-0xxx
Geekbench AI Score
4958
Single Precision Score
1565
Half Precision Score
7664
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | plovlife |
| Upload Date | April 26 2025 07:03 AM |
| Views | 5 |
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% |
4149
771.7 IPS |
|
|
Image Classification (HP)
|
100% |
572
106.4 IPS |
|
|
Image Classification (Q)
|
99% |
7197
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1993
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
922
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3909
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8973
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4071
4.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
29760
34.9 IPS |
|
|
Object Detection (SP)
|
100% |
3761
298.3 IPS |
|
|
Object Detection (HP)
|
100% |
793
62.9 IPS |
|
|
Object Detection (Q)
|
86% |
6942
557.9 IPS |
|
|
Face Detection (SP)
|
100% |
10379
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
1580
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
10687
127.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11358
87.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2017
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
16138
128.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21959
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11694
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26310
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3383
124.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2077
76.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4667
172.8 IPS |
|
|
Text Classification (SP)
|
100% |
1622
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1630
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2265
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3487
70.1 IPS |
