HP OMEN 35L GT16-0xxx
Geekbench AI Score
26510
Single Precision Score
45230
Half Precision Score
20650
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | deutros |
| Upload Date | September 05 2025 02:28 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN 35L GT16-0xxx |
| Motherboard | HP 8CF4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700F 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10408
1.94 KIPS |
|
|
Image Classification (HP)
|
100% |
16852
3.13 KIPS |
|
|
Image Classification (Q)
|
100% |
9490
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18017
292.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
26514
429.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16155
262.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
157930
184.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
444386
518.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
137380
160.9 IPS |
|
|
Object Detection (SP)
|
100% |
14194
1.13 KIPS |
|
|
Object Detection (HP)
|
100% |
23049
1.83 KIPS |
|
|
Object Detection (Q)
|
83% |
11992
968.9 IPS |
|
|
Face Detection (SP)
|
100% |
36641
435.4 IPS |
|
|
Face Detection (HP)
|
100% |
53323
633.6 IPS |
|
|
Face Detection (Q)
|
97% |
31823
379.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
67295
518.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
122638
944.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
52044
415.4 IPS |
|
|
Style Transfer (SP)
|
100% |
224034
288.0 IPS |
|
|
Style Transfer (HP)
|
100% |
743078
955.2 IPS |
|
|
Style Transfer (Q)
|
98% |
193185
249.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39375
1.45 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71157
2.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31619
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3532
4.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4147
5.54 KIPS |
|
|
Text Classification (Q)
|
97% |
2221
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5309
91.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5461
94.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2485
46.6 IPS |
