Hewlett-Packard HP ProBook 430 G2
Geekbench AI Score
397
Single Precision Score
280
Half Precision Score
505
Quantized Score
Geekbench AI 1.4.0 Corporate for Windows AVX2
Result Information
| Upload Date | July 07 2025 11:14 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4310U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP ProBook 430 G2 |
| Motherboard | Hewlett-Packard 2246 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4310U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 69 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
258
48.0 IPS |
|
|
Image Classification (HP)
|
100% |
131
24.3 IPS |
|
|
Image Classification (Q)
|
96% |
368
68.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
142
2.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
163
2.65 IPS |
|
|
Image Segmentation (Q)
|
97% |
373
6.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
521
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
538
0.63 IPS |
|
|
Pose Estimation (Q)
|
86% |
809
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (Q)
|
58% |
253
27.7 IPS |
|
|
Face Detection (SP)
|
100% |
447
5.31 IPS |
|
|
Face Detection (HP)
|
100% |
288
3.42 IPS |
|
|
Face Detection (Q)
|
96% |
857
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
697
5.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
429
3.30 IPS |
|
|
Depth Estimation (Q)
|
78% |
898
7.17 IPS |
|
|
Style Transfer (SP)
|
100% |
1386
1.78 IPS |
|
|
Style Transfer (HP)
|
100% |
1328
1.71 IPS |
|
|
Style Transfer (Q)
|
87% |
1882
2.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
318
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
301
11.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
477
17.7 IPS |
|
|
Text Classification (SP)
|
100% |
394
526.0 IPS |
|
|
Text Classification (HP)
|
100% |
221
294.5 IPS |
|
|
Text Classification (Q)
|
97% |
197
263.5 IPS |
|
|
Machine Translation (SP)
|
100% |
407
7.01 IPS |
|
|
Machine Translation (HP)
|
100% |
168
2.89 IPS |
|
|
Machine Translation (Q)
|
68% |
285
5.50 IPS |
