HP OMEN 35L GT16-0xxx
Geekbench AI Score
28926
Single Precision Score
50280
Half Precision Score
22280
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 16 2025 08:14 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP OMEN 35L GT16-0xxx |
| Motherboard | HP 8CF1 |
| 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% |
11404
2.12 KIPS |
|
|
Image Classification (HP)
|
100% |
18732
3.48 KIPS |
|
|
Image Classification (Q)
|
100% |
10331
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22020
357.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
33442
542.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20143
327.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
161815
188.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
464704
542.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
136544
159.9 IPS |
|
|
Object Detection (SP)
|
100% |
15368
1.22 KIPS |
|
|
Object Detection (HP)
|
100% |
25206
2.00 KIPS |
|
|
Object Detection (Q)
|
83% |
12807
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
40384
479.8 IPS |
|
|
Face Detection (HP)
|
100% |
58838
699.1 IPS |
|
|
Face Detection (Q)
|
97% |
34603
412.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
70038
539.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
126310
973.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
53599
427.8 IPS |
|
|
Style Transfer (SP)
|
100% |
227221
292.1 IPS |
|
|
Style Transfer (HP)
|
100% |
809022
1.04 KIPS |
|
|
Style Transfer (Q)
|
98% |
199284
257.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42429
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78468
2.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33561
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3804
5.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4586
6.12 KIPS |
|
|
Text Classification (Q)
|
97% |
2353
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
6333
109.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6505
112.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2838
53.2 IPS |
