Hewlett-Packard HP ProBook 6570b
Geekbench AI Score
396
Single Precision Score
251
Half Precision Score
391
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | moba |
| Upload Date | August 24 2025 09:18 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-3210M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP ProBook 6570b |
| Motherboard | Hewlett-Packard 17AB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3210M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
254
47.2 IPS |
|
|
Image Classification (HP)
|
100% |
121
22.6 IPS |
|
|
Image Classification (Q)
|
96% |
250
46.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (Q)
|
97% |
296
4.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
453
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
367
0.43 IPS |
|
|
Pose Estimation (Q)
|
86% |
483
0.57 IPS |
|
|
Object Detection (SP)
|
100% |
243
19.3 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
58% |
188
20.5 IPS |
|
|
Face Detection (SP)
|
100% |
733
8.72 IPS |
|
|
Face Detection (HP)
|
100% |
345
4.10 IPS |
|
|
Face Detection (Q)
|
96% |
617
7.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
629
4.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
363
2.80 IPS |
|
|
Depth Estimation (Q)
|
78% |
567
4.52 IPS |
|
|
Style Transfer (SP)
|
100% |
1186
1.52 IPS |
|
|
Style Transfer (HP)
|
100% |
992
1.28 IPS |
|
|
Style Transfer (Q)
|
87% |
1108
1.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
271
9.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
215
7.95 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
285
10.6 IPS |
|
|
Text Classification (SP)
|
100% |
264
353.0 IPS |
|
|
Text Classification (HP)
|
100% |
176
234.9 IPS |
|
|
Text Classification (Q)
|
97% |
263
352.7 IPS |
|
|
Machine Translation (SP)
|
100% |
438
7.54 IPS |
|
|
Machine Translation (HP)
|
100% |
218
3.76 IPS |
|
|
Machine Translation (Q)
|
68% |
428
8.28 IPS |
