HP OMEN 35L GT16-0xxx
Geekbench AI Score
4093
Single Precision Score
1888
Half Precision Score
8592
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | deutros |
| Upload Date | September 05 2025 02:26 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700F 8-Core Processor |
| 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% |
3847
715.5 IPS |
|
|
Image Classification (HP)
|
100% |
761
141.5 IPS |
|
|
Image Classification (Q)
|
99% |
8526
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1048
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10506
170.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6969
8.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
5653
6.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
25809
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
3378
268.0 IPS |
|
|
Object Detection (HP)
|
100% |
901
71.5 IPS |
|
|
Object Detection (Q)
|
86% |
8308
667.7 IPS |
|
|
Face Detection (SP)
|
100% |
6512
77.4 IPS |
|
|
Face Detection (HP)
|
100% |
1943
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
10821
129.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8366
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2727
21.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7866
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16997
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14107
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
29754
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2709
100.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2662
98.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6710
248.5 IPS |
|
|
Text Classification (SP)
|
100% |
2180
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
925
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1822
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2544
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3688
74.1 IPS |
