HP HP OmniBook 5 Laptop 16-bc1xxx
Geekbench AI Score
3682
Single Precision Score
1684
Half Precision Score
7623
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 26 2025 02:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8840U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniBook 5 Laptop 16-bc1xxx |
| Motherboard | HP 8E02 |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3128
581.8 IPS |
|
|
Image Classification (HP)
|
100% |
682
126.8 IPS |
|
|
Image Classification (Q)
|
99% |
7373
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
840
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8728
141.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6421
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
5040
5.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
21898
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
2846
225.7 IPS |
|
|
Object Detection (HP)
|
100% |
843
66.9 IPS |
|
|
Object Detection (Q)
|
86% |
7007
563.1 IPS |
|
|
Face Detection (SP)
|
100% |
5227
62.1 IPS |
|
|
Face Detection (HP)
|
100% |
1671
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
9784
116.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8169
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2340
18.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9725
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14184
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12288
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
23935
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2277
84.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2150
79.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5693
210.8 IPS |
|
|
Text Classification (SP)
|
100% |
1928
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
840
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1723
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2091
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3006
60.4 IPS |
