HP OMEN 35L GT16-0xxx
Geekbench AI Score
22306
Single Precision Score
30597
Half Precision Score
18326
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Symbol1ca |
| Upload Date | March 07 2026 08:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN 35L GT16-0xxx |
| Motherboard | HP 8CF3 |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8763
1.63 KIPS |
|
|
Image Classification (HP)
|
100% |
10705
1.99 KIPS |
|
|
Image Classification (Q)
|
100% |
7884
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10101
163.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11374
184.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9741
158.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
201424
235.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
464170
541.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
176050
206.2 IPS |
|
|
Object Detection (SP)
|
100% |
10216
810.3 IPS |
|
|
Object Detection (HP)
|
100% |
12362
980.6 IPS |
|
|
Object Detection (Q)
|
86% |
9218
740.6 IPS |
|
|
Face Detection (SP)
|
100% |
25734
305.8 IPS |
|
|
Face Detection (HP)
|
100% |
29840
354.6 IPS |
|
|
Face Detection (Q)
|
97% |
23354
278.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
72764
560.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
115261
888.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
56932
454.6 IPS |
|
|
Style Transfer (SP)
|
100% |
285436
366.9 IPS |
|
|
Style Transfer (HP)
|
100% |
640626
823.5 IPS |
|
|
Style Transfer (Q)
|
98% |
252778
325.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38803
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50262
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31261
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3019
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3466
4.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1885
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2674
46.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2682
46.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1731
32.5 IPS |
