HP OMEN 35L GT16-0xxx
Geekbench AI Score
5222
Single Precision Score
1973
Half Precision Score
9202
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 05:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN 35L GT16-0xxx |
| Motherboard | HP 8CF2 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265F |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4921
915.2 IPS |
|
|
Image Classification (HP)
|
100% |
635
118.0 IPS |
|
|
Image Classification (Q)
|
99% |
8824
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2203
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4723
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12850
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7306
8.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
39227
46.0 IPS |
|
|
Object Detection (SP)
|
100% |
1815
144.0 IPS |
|
|
Object Detection (HP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (Q)
|
86% |
10125
813.8 IPS |
|
|
Face Detection (SP)
|
100% |
8291
98.5 IPS |
|
|
Face Detection (HP)
|
100% |
1961
23.3 IPS |
|
|
Face Detection (Q)
|
97% |
13292
158.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13523
104.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2978
22.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
18840
150.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28979
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16599
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27556
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4335
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3204
118.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5833
216.0 IPS |
|
|
Text Classification (SP)
|
100% |
1945
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
878
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1494
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2178
37.5 IPS |
|
|
Machine Translation (HP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4376
87.9 IPS |
