Panasonic Corporation CF-19-8
Geekbench AI Score
391
Single Precision Score
235
Half Precision Score
373
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 27 2024 08:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-3610ME CPU @ 2.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Panasonic Corporation CF-19-8 |
| Motherboard | Panasonic Corporation CF19-8 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i5-3610ME CPU @ 2.70GHz |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
247
45.9 IPS |
|
|
Image Classification (HP)
|
100% |
146
27.2 IPS |
|
|
Image Classification (Q)
|
96% |
296
55.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
203
3.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (Q)
|
97% |
298
4.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
414
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
332
0.39 IPS |
|
|
Pose Estimation (Q)
|
86% |
444
0.53 IPS |
|
|
Object Detection (SP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (HP)
|
100% |
119
9.48 IPS |
|
|
Object Detection (Q)
|
58% |
175
19.1 IPS |
|
|
Face Detection (SP)
|
100% |
670
7.96 IPS |
|
|
Face Detection (HP)
|
100% |
325
3.86 IPS |
|
|
Face Detection (Q)
|
96% |
547
6.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
706
5.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
323
2.49 IPS |
|
|
Depth Estimation (Q)
|
78% |
545
4.33 IPS |
|
|
Style Transfer (SP)
|
100% |
1144
1.47 IPS |
|
|
Style Transfer (HP)
|
100% |
905
1.16 IPS |
|
|
Style Transfer (Q)
|
87% |
1025
1.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
241
8.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
203
7.51 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
273
10.1 IPS |
|
|
Text Classification (SP)
|
100% |
221
295.5 IPS |
|
|
Text Classification (HP)
|
100% |
171
228.9 IPS |
|
|
Text Classification (Q)
|
97% |
251
336.9 IPS |
|
|
Machine Translation (SP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (HP)
|
100% |
176
3.02 IPS |
|
|
Machine Translation (Q)
|
68% |
373
7.21 IPS |
