Hewlett-Packard HP ProBook 4530s
Geekbench AI Score
200
Single Precision Score
133
Half Precision Score
270
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | February 01 2026 09:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium B940 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | Hewlett-Packard HP ProBook 4530s |
| Motherboard | Hewlett-Packard 167C |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | Intel Pentium B940 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
122
22.6 IPS |
|
|
Image Classification (HP)
|
100% |
66
12.2 IPS |
|
|
Image Classification (Q)
|
96% |
192
35.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
122
1.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
91
1.48 IPS |
|
|
Image Segmentation (Q)
|
97% |
168
2.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
214
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
183
0.21 IPS |
|
|
Pose Estimation (Q)
|
86% |
373
0.44 IPS |
|
|
Object Detection (SP)
|
100% |
119
9.42 IPS |
|
|
Object Detection (HP)
|
100% |
73
5.76 IPS |
|
|
Object Detection (Q)
|
58% |
138
15.1 IPS |
|
|
Face Detection (SP)
|
100% |
364
4.33 IPS |
|
|
Face Detection (HP)
|
100% |
201
2.39 IPS |
|
|
Face Detection (Q)
|
96% |
456
5.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
301
2.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
196
1.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
432
3.44 IPS |
|
|
Style Transfer (SP)
|
100% |
599
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
518
0.67 IPS |
|
|
Style Transfer (Q)
|
87% |
858
1.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
133
4.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
112
4.12 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
205
7.58 IPS |
|
|
Text Classification (SP)
|
100% |
130
173.4 IPS |
|
|
Text Classification (HP)
|
100% |
92
122.3 IPS |
|
|
Text Classification (Q)
|
97% |
120
160.5 IPS |
|
|
Machine Translation (SP)
|
100% |
241
4.16 IPS |
|
|
Machine Translation (HP)
|
100% |
108
1.87 IPS |
|
|
Machine Translation (Q)
|
68% |
300
5.79 IPS |
