Panasonic Corporation CF-191HYAX1M
Geekbench AI Score
245
Single Precision Score
231
Half Precision Score
367
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | noderaser |
| Upload Date | January 02 2025 11:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-3320M CPU @ 2.60GHz |
| 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% |
186
34.5 IPS |
|
|
Image Classification (HP)
|
100% |
159
29.6 IPS |
|
|
Image Classification (Q)
|
100% |
340
63.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
270
4.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
275
4.46 IPS |
|
|
Image Segmentation (Q)
|
99% |
391
6.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
166
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
162
0.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
408
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
151
11.9 IPS |
|
|
Object Detection (Q)
|
87% |
275
22.1 IPS |
|
|
Face Detection (SP)
|
100% |
438
5.21 IPS |
|
|
Face Detection (HP)
|
100% |
364
4.33 IPS |
|
|
Face Detection (Q)
|
97% |
554
6.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
234
1.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
229
1.77 IPS |
|
|
Depth Estimation (Q)
|
81% |
664
5.25 IPS |
|
|
Style Transfer (SP)
|
100% |
504
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
549
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
958
1.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
222
8.18 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
216
7.99 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
331
12.3 IPS |
|
|
Text Classification (SP)
|
100% |
346
462.1 IPS |
|
|
Text Classification (HP)
|
100% |
328
437.1 IPS |
|
|
Text Classification (Q)
|
91% |
201
270.3 IPS |
|
|
Machine Translation (SP)
|
100% |
137
2.35 IPS |
|
|
Machine Translation (HP)
|
100% |
126
2.18 IPS |
|
|
Machine Translation (Q)
|
100% |
130
2.24 IPS |
