Panasonic Corporation CF-C2CKHMFCM
Geekbench AI Score
556
Single Precision Score
321
Half Precision Score
653
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Deslok |
| Upload Date | January 29 2025 01:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4300U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Panasonic Corporation CF-C2CKHMFCM |
| Motherboard | Panasonic Corporation CFC2-2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4300U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 69 Stepping 1 |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
398
73.9 IPS |
|
|
Image Classification (HP)
|
100% |
157
29.3 IPS |
|
|
Image Classification (Q)
|
96% |
473
88.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
265
4.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (Q)
|
97% |
418
6.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
815
0.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
550
0.64 IPS |
|
|
Pose Estimation (Q)
|
86% |
898
1.06 IPS |
|
|
Object Detection (SP)
|
100% |
370
29.3 IPS |
|
|
Object Detection (HP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (Q)
|
58% |
338
37.0 IPS |
|
|
Face Detection (SP)
|
100% |
862
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
391
4.64 IPS |
|
|
Face Detection (Q)
|
96% |
1087
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
893
6.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
455
3.50 IPS |
|
|
Depth Estimation (Q)
|
78% |
1071
8.55 IPS |
|
|
Style Transfer (SP)
|
100% |
1623
2.09 IPS |
|
|
Style Transfer (HP)
|
100% |
1276
1.64 IPS |
|
|
Style Transfer (Q)
|
87% |
2067
2.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
367
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
312
11.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
448
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
378
504.0 IPS |
|
|
Text Classification (HP)
|
100% |
230
307.5 IPS |
|
|
Text Classification (Q)
|
97% |
398
533.3 IPS |
|
|
Machine Translation (SP)
|
100% |
518
8.92 IPS |
|
|
Machine Translation (HP)
|
100% |
221
3.80 IPS |
|
|
Machine Translation (Q)
|
68% |
549
10.6 IPS |
