HP HP 255 G7 Notebook PC
Geekbench AI Score
1055
Single Precision Score
1023
Half Precision Score
1128
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ViNsTeR777 |
| Upload Date | February 02 2026 07:14 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 3500U with Radeon Vega Mobile Gfx |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP 255 G7 Notebook PC |
| Motherboard | HP 85EA |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3500U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
685
127.3 IPS |
|
|
Image Classification (HP)
|
100% |
690
128.3 IPS |
|
|
Image Classification (Q)
|
100% |
723
134.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
516
8.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
522
8.47 IPS |
|
|
Image Segmentation (Q)
|
99% |
601
9.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
1142
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1014
1.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
1377
1.62 IPS |
|
|
Object Detection (SP)
|
100% |
653
51.8 IPS |
|
|
Object Detection (HP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (Q)
|
87% |
726
58.2 IPS |
|
|
Face Detection (SP)
|
100% |
1739
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
1702
20.2 IPS |
|
|
Face Detection (Q)
|
97% |
2238
26.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1700
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1703
13.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
1820
14.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3589
4.61 IPS |
|
|
Style Transfer (HP)
|
100% |
3560
4.58 IPS |
|
|
Style Transfer (Q)
|
98% |
4053
5.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
762
28.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
650
24.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
866
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
601
802.4 IPS |
|
|
Text Classification (HP)
|
100% |
603
804.6 IPS |
|
|
Text Classification (Q)
|
91% |
419
563.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1334
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1319
22.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1285
22.1 IPS |
