HP OMEN 35L GT16-0xxx
Geekbench AI Score
31862
Single Precision Score
53743
Half Precision Score
24357
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | pososuke |
| Upload Date | May 16 2025 06:58 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN 35L GT16-0xxx |
| Motherboard | HP 8CF3 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12808
2.38 KIPS |
|
|
Image Classification (HP)
|
100% |
19726
3.67 KIPS |
|
|
Image Classification (Q)
|
100% |
11406
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23481
380.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
33802
548.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21314
346.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
170900
199.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
639090
745.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
151027
176.9 IPS |
|
|
Object Detection (SP)
|
100% |
16211
1.29 KIPS |
|
|
Object Detection (HP)
|
100% |
25336
2.01 KIPS |
|
|
Object Detection (Q)
|
86% |
13504
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
47081
559.4 IPS |
|
|
Face Detection (HP)
|
100% |
66232
787.0 IPS |
|
|
Face Detection (Q)
|
97% |
39786
474.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
83021
639.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
131955
1.02 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62619
500.0 IPS |
|
|
Style Transfer (SP)
|
100% |
310116
398.7 IPS |
|
|
Style Transfer (HP)
|
100% |
995023
1.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
258667
333.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45899
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74406
2.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35049
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3668
4.90 KIPS |
|
|
Text Classification (HP)
|
100% |
4540
6.06 KIPS |
|
|
Text Classification (Q)
|
97% |
2274
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
6342
109.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6338
109.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2886
54.1 IPS |
