Panasonic Corporation CF-19-8
Geekbench AI Score
443
Single Precision Score
207
Half Precision Score
321
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| Upload Date | December 27 2024 10:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-3610ME CPU @ 2.70GHz |
| System Information | |
|---|---|
| Operating System | Fedora Linux 41 (KDE Plasma) |
| Model | Panasonic Corporation CF-19-8 |
| Motherboard | Panasonic Corporation CF19-8 |
| 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 | 3.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
267
49.6 IPS |
|
|
Image Classification (HP)
|
100% |
72
13.4 IPS |
|
|
Image Classification (Q)
|
97% |
213
39.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
245
3.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
105
1.70 IPS |
|
|
Image Segmentation (Q)
|
99% |
245
3.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
554
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
425
0.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
365
0.43 IPS |
|
|
Object Detection (SP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (HP)
|
100% |
85
6.75 IPS |
|
|
Object Detection (Q)
|
86% |
210
16.9 IPS |
|
|
Face Detection (SP)
|
100% |
578
6.87 IPS |
|
|
Face Detection (HP)
|
100% |
150
1.79 IPS |
|
|
Face Detection (Q)
|
97% |
638
7.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
765
5.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
300
2.31 IPS |
|
|
Depth Estimation (Q)
|
78% |
474
3.77 IPS |
|
|
Style Transfer (SP)
|
100% |
1389
1.79 IPS |
|
|
Style Transfer (HP)
|
100% |
1165
1.50 IPS |
|
|
Style Transfer (Q)
|
98% |
908
1.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
336
12.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
270
9.98 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
172
6.36 IPS |
|
|
Text Classification (SP)
|
100% |
310
413.8 IPS |
|
|
Text Classification (HP)
|
100% |
200
266.8 IPS |
|
|
Text Classification (Q)
|
97% |
281
375.8 IPS |
|
|
Machine Translation (SP)
|
100% |
465
8.01 IPS |
|
|
Machine Translation (HP)
|
100% |
187
3.22 IPS |
|
|
Machine Translation (Q)
|
65% |
223
4.47 IPS |
