HP OMEN 35L Gaming Desktop GT16-0xxx
Geekbench AI Score
3088
Single Precision Score
1505
Half Precision Score
6570
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | aBOBination |
| Upload Date | October 14 2025 04:45 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8400F 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN 35L Gaming Desktop GT16-0xxx |
| Motherboard | HP 8CF4 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8400F 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2376
441.8 IPS |
|
|
Image Classification (HP)
|
100% |
583
108.3 IPS |
|
|
Image Classification (Q)
|
99% |
7038
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
748
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7788
126.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5285
6.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
4282
5.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
20099
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
2503
198.5 IPS |
|
|
Object Detection (HP)
|
100% |
752
59.7 IPS |
|
|
Object Detection (Q)
|
86% |
6708
539.1 IPS |
|
|
Face Detection (SP)
|
100% |
3674
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
1480
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
7198
85.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4357
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1746
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
6077
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12623
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10943
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
16214
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2223
82.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2043
75.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5387
199.5 IPS |
|
|
Text Classification (SP)
|
100% |
1963
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
861
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1737
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1933
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3056
61.4 IPS |
