Panasonic Connect Co., Ltd. CFSC6-1
Geekbench AI Score
2556
Single Precision Score
1118
Half Precision Score
5537
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 01:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Panasonic Connect Co., Ltd. CFSC6-1 |
| Motherboard | Panasonic Connect Co., Ltd. CFSC6-1H |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1893
352.0 IPS |
|
|
Image Classification (HP)
|
100% |
444
82.6 IPS |
|
|
Image Classification (Q)
|
99% |
4607
859.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1007
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
692
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5857
95.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3977
4.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2513
2.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
14677
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1862
147.7 IPS |
|
|
Object Detection (HP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (Q)
|
86% |
4310
346.4 IPS |
|
|
Face Detection (SP)
|
100% |
4506
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
1212
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
7162
85.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5258
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1609
12.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11227
89.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9775
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6109
7.85 IPS |
|
|
Style Transfer (Q)
|
98% |
15291
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1822
67.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1256
46.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3978
147.3 IPS |
|
|
Text Classification (SP)
|
100% |
1332
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
639
853.1 IPS |
|
|
Text Classification (Q)
|
97% |
1436
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1502
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2261
45.4 IPS |
