Panasonic Corporation CFRZ8-1L
Geekbench AI Score
404
Single Precision Score
4
Half Precision Score
334
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | kochitora |
| Upload Date | January 02 2025 01:09 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 615 |
| 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% |
243
45.2 IPS |
|
|
Image Classification (HP)
|
0% |
0
45.3 IPS |
|
|
Image Classification (Q)
|
100% |
231
42.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
336
5.45 IPS |
|
|
Image Segmentation (HP)
|
73% |
300
5.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
278
4.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
678
0.79 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
0.70 IPS |
|
|
Pose Estimation (Q)
|
97% |
642
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
221
17.6 IPS |
|
|
Object Detection (HP)
|
0% |
0
17.2 IPS |
|
|
Object Detection (Q)
|
86% |
227
18.3 IPS |
|
|
Face Detection (SP)
|
100% |
528
6.28 IPS |
|
|
Face Detection (HP)
|
0% |
0
7.50 IPS |
|
|
Face Detection (Q)
|
97% |
449
5.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
701
5.40 IPS |
|
|
Depth Estimation (HP)
|
8% |
5
5.67 IPS |
|
|
Depth Estimation (Q)
|
77% |
678
5.42 IPS |
|
|
Style Transfer (SP)
|
100% |
1452
1.87 IPS |
|
|
Style Transfer (HP)
|
26% |
97
2.29 IPS |
|
|
Style Transfer (Q)
|
98% |
1384
1.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
408
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
4% |
2
14.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
350
13.0 IPS |
|
|
Text Classification (SP)
|
100% |
170
226.8 IPS |
|
|
Text Classification (HP)
|
29% |
12
214.9 IPS |
|
|
Text Classification (Q)
|
97% |
97
130.2 IPS |
|
|
Machine Translation (SP)
|
100% |
256
4.42 IPS |
|
|
Machine Translation (HP)
|
0% |
0
0.69 IPS |
|
|
Machine Translation (Q)
|
70% |
132
2.48 IPS |
