Hewlett-Packard HP ProBook 6560b
Geekbench AI Score
569
Single Precision Score
340
Half Precision Score
622
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | KjellinJ |
| Upload Date | June 28 2025 08:13 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-2860QM |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP ProBook 6560b |
| Motherboard | Hewlett-Packard 1619 |
| Power Plan | Balanserat |
| CPU Information | |
|---|---|
| Name | Intel Core i7-2860QM |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
397
73.9 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.5 IPS |
|
|
Image Classification (Q)
|
96% |
452
84.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
243
3.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (Q)
|
97% |
372
6.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
660
0.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
624
0.73 IPS |
|
|
Pose Estimation (Q)
|
86% |
924
1.09 IPS |
|
|
Object Detection (SP)
|
100% |
390
30.9 IPS |
|
|
Object Detection (HP)
|
100% |
176
13.9 IPS |
|
|
Object Detection (Q)
|
58% |
358
39.1 IPS |
|
|
Face Detection (SP)
|
100% |
988
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
456
5.42 IPS |
|
|
Face Detection (Q)
|
96% |
1080
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
983
7.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
514
3.96 IPS |
|
|
Depth Estimation (Q)
|
78% |
1088
8.66 IPS |
|
|
Style Transfer (SP)
|
100% |
1968
2.53 IPS |
|
|
Style Transfer (HP)
|
100% |
1639
2.11 IPS |
|
|
Style Transfer (Q)
|
87% |
2032
2.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
393
14.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
348
12.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
512
19.0 IPS |
|
|
Text Classification (SP)
|
100% |
376
502.3 IPS |
|
|
Text Classification (HP)
|
100% |
208
277.5 IPS |
|
|
Text Classification (Q)
|
97% |
199
266.6 IPS |
|
|
Machine Translation (SP)
|
100% |
515
8.86 IPS |
|
|
Machine Translation (HP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (Q)
|
68% |
648
12.5 IPS |
