Panasonic Toughbook CF-19 Panasonic Corporation CF-191HYAX1M
Geekbench AI Score
313
Single Precision Score
174
Half Precision Score
290
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | noderaser |
| Upload Date | January 02 2025 11:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-3320M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Panasonic Corporation CF-191HYAX1M |
| Motherboard | Panasonic Corporation CF19-6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3320M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
263
48.9 IPS |
|
|
Image Classification (HP)
|
100% |
89
16.5 IPS |
|
|
Image Classification (Q)
|
96% |
249
46.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
149
2.41 IPS |
|
|
Image Segmentation (Q)
|
97% |
233
3.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
264
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
216
0.25 IPS |
|
|
Pose Estimation (Q)
|
86% |
303
0.36 IPS |
|
|
Object Detection (SP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (HP)
|
100% |
105
8.36 IPS |
|
|
Object Detection (Q)
|
58% |
177
19.4 IPS |
|
|
Face Detection (SP)
|
100% |
564
6.70 IPS |
|
|
Face Detection (HP)
|
100% |
251
2.98 IPS |
|
|
Face Detection (Q)
|
96% |
531
6.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
449
3.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
219
1.68 IPS |
|
|
Depth Estimation (Q)
|
78% |
281
2.24 IPS |
|
|
Style Transfer (SP)
|
100% |
676
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
584
0.75 IPS |
|
|
Style Transfer (Q)
|
87% |
672
0.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
240
8.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
144
5.32 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
242
8.96 IPS |
|
|
Text Classification (SP)
|
100% |
274
366.3 IPS |
|
|
Text Classification (HP)
|
100% |
156
208.4 IPS |
|
|
Text Classification (Q)
|
97% |
184
246.8 IPS |
|
|
Machine Translation (SP)
|
100% |
319
5.49 IPS |
|
|
Machine Translation (HP)
|
100% |
123
2.13 IPS |
|
|
Machine Translation (Q)
|
68% |
304
5.88 IPS |
