Panasonic Corporation CFRZ8-1L
Geekbench AI Score
650
Single Precision Score
363
Half Precision Score
943
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | kochitora |
| Upload Date | January 02 2025 12:53 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8500Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Panasonic Corporation CFRZ8-1L |
| Motherboard | Panasonic Corporation CFRZ8-1L |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8500Y |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
373
69.4 IPS |
|
|
Image Classification (HP)
|
100% |
166
30.9 IPS |
|
|
Image Classification (Q)
|
96% |
681
127.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
306
4.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
238
3.85 IPS |
|
|
Image Segmentation (Q)
|
97% |
594
9.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
784
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
634
0.74 IPS |
|
|
Pose Estimation (Q)
|
86% |
1414
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
439
34.9 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
58% |
477
52.1 IPS |
|
|
Face Detection (SP)
|
100% |
1039
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
427
5.07 IPS |
|
|
Face Detection (Q)
|
96% |
1563
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1139
8.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
451
3.48 IPS |
|
|
Depth Estimation (Q)
|
78% |
1549
12.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1968
2.53 IPS |
|
|
Style Transfer (HP)
|
100% |
1466
1.88 IPS |
|
|
Style Transfer (Q)
|
87% |
3181
4.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
464
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
344
12.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
725
26.9 IPS |
|
|
Text Classification (SP)
|
100% |
465
621.1 IPS |
|
|
Text Classification (HP)
|
100% |
294
393.1 IPS |
|
|
Text Classification (Q)
|
97% |
503
673.3 IPS |
|
|
Machine Translation (SP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (Q)
|
68% |
726
14.0 IPS |
