Hewlett-Packard HP EliteBook 2560p
Geekbench AI Score
333
Single Precision Score
213
Half Precision Score
271
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| Upload Date | October 20 2024 04:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-2620M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP EliteBook 2560p |
| Motherboard | Hewlett-Packard 162B |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-2620M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
243
45.3 IPS |
|
|
Image Classification (HP)
|
100% |
130
24.2 IPS |
|
|
Image Classification (Q)
|
96% |
236
44.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
226
3.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
170
2.75 IPS |
|
|
Image Segmentation (Q)
|
97% |
227
3.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
415
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
311
0.36 IPS |
|
|
Pose Estimation (Q)
|
87% |
408
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.70 IPS |
|
|
Object Detection (Q)
|
90% |
168
13.5 IPS |
|
|
Face Detection (SP)
|
100% |
495
5.88 IPS |
|
|
Face Detection (HP)
|
100% |
288
3.42 IPS |
|
|
Face Detection (Q)
|
96% |
412
4.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
473
3.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
294
2.27 IPS |
|
|
Depth Estimation (Q)
|
78% |
332
2.65 IPS |
|
|
Style Transfer (SP)
|
100% |
936
1.20 IPS |
|
|
Style Transfer (HP)
|
100% |
791
1.02 IPS |
|
|
Style Transfer (Q)
|
87% |
936
1.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
170
6.29 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
227
8.41 IPS |
|
|
Text Classification (SP)
|
100% |
264
352.1 IPS |
|
|
Text Classification (HP)
|
100% |
146
194.6 IPS |
|
|
Text Classification (Q)
|
97% |
124
165.5 IPS |
|
|
Machine Translation (SP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (HP)
|
100% |
158
2.72 IPS |
|
|
Machine Translation (Q)
|
60% |
164
3.65 IPS |
