HP ProBook 455 G8 Notebook PC HP HP ProBook 455 G8 Notebook PC
Geekbench AI Score
2212
Single Precision Score
2259
Half Precision Score
3988
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | icemc |
| Upload Date | January 23 2026 08:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | HP HP ProBook 455 G8 Notebook PC |
| Motherboard | HP 8864 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1511
280.9 IPS |
|
|
Image Classification (HP)
|
100% |
1511
281.0 IPS |
|
|
Image Classification (Q)
|
100% |
2853
530.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3109
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3157
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3108
3.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
5803
6.81 IPS |
|
|
Object Detection (SP)
|
100% |
1158
91.8 IPS |
|
|
Object Detection (HP)
|
100% |
1227
97.3 IPS |
|
|
Object Detection (Q)
|
87% |
2614
209.6 IPS |
|
|
Face Detection (SP)
|
100% |
2554
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
2539
30.2 IPS |
|
|
Face Detection (Q)
|
97% |
7979
95.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3110
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3186
24.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
6421
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7488
9.63 IPS |
|
|
Style Transfer (HP)
|
100% |
8088
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18007
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1753
64.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4412
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
1736
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1596
2.13 KIPS |
|
|
Text Classification (Q)
|
91% |
869
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2156
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2138
36.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2140
36.9 IPS |
