Panasonic Corporation CF-54-2
Geekbench AI Score
762
Single Precision Score
448
Half Precision Score
925
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | noderaser |
| Upload Date | December 27 2024 04:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6300U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Panasonic Corporation CF-54-2 |
| Motherboard | Panasonic Corporation CF54-2 |
| Power Plan | Panasonic Power Management |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6300U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
509
94.6 IPS |
|
|
Image Classification (HP)
|
100% |
214
39.8 IPS |
|
|
Image Classification (Q)
|
96% |
767
143.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
340
5.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
276
4.48 IPS |
|
|
Image Segmentation (Q)
|
97% |
458
7.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
1046
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
869
1.01 IPS |
|
|
Pose Estimation (Q)
|
86% |
1744
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (HP)
|
100% |
235
18.7 IPS |
|
|
Object Detection (Q)
|
58% |
504
55.1 IPS |
|
|
Face Detection (SP)
|
100% |
1208
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
503
5.98 IPS |
|
|
Face Detection (Q)
|
96% |
1625
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1298
10.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
646
4.98 IPS |
|
|
Depth Estimation (Q)
|
78% |
1836
14.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2581
3.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1968
2.53 IPS |
|
|
Style Transfer (Q)
|
87% |
3314
4.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
542
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
457
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
812
30.1 IPS |
|
|
Text Classification (SP)
|
100% |
480
640.6 IPS |
|
|
Text Classification (HP)
|
100% |
325
433.8 IPS |
|
|
Text Classification (Q)
|
97% |
252
337.9 IPS |
|
|
Machine Translation (SP)
|
100% |
688
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (Q)
|
68% |
741
14.3 IPS |
