HP OMEN 35L GT16-0xxx
Geekbench AI Score
5589
Single Precision Score
2073
Half Precision Score
9040
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | pososuke |
| Upload Date | May 16 2025 06:55 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
4498
836.4 IPS |
|
|
Image Classification (HP)
|
100% |
730
135.7 IPS |
|
|
Image Classification (Q)
|
99% |
9224
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2530
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1434
23.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4276
69.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11391
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
7237
8.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
38813
45.5 IPS |
|
|
Object Detection (SP)
|
100% |
4255
337.5 IPS |
|
|
Object Detection (HP)
|
100% |
852
67.6 IPS |
|
|
Object Detection (Q)
|
86% |
10326
829.9 IPS |
|
|
Face Detection (SP)
|
100% |
10487
124.6 IPS |
|
|
Face Detection (HP)
|
100% |
2120
25.2 IPS |
|
|
Face Detection (Q)
|
97% |
12762
152.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11813
91.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2708
20.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
19103
152.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24155
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16304
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19567
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3571
131.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2688
99.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5746
212.8 IPS |
|
|
Text Classification (SP)
|
100% |
1831
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
849
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1819
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2756
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1064
18.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4626
93.0 IPS |
