Panasonic Corporation CFLV1-1
Geekbench AI Score
2644
Single Precision Score
3359
Half Precision Score
5151
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | December 04 2024 03:57 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Panasonic Corporation CFLV1-1 |
| Motherboard | Panasonic Corporation CFLV1-1H |
| Power Plan | TELG |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1185G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1478
274.9 IPS |
|
|
Image Classification (HP)
|
100% |
2086
387.9 IPS |
|
|
Image Classification (Q)
|
99% |
2749
512.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3562
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4148
67.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6260
7.30 IPS |
|
|
Pose Estimation (HP)
|
99% |
4610
5.38 IPS |
|
|
Pose Estimation (Q)
|
97% |
18678
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.3 IPS |
|
|
Object Detection (HP)
|
100% |
2084
165.3 IPS |
|
|
Object Detection (Q)
|
90% |
3137
250.8 IPS |
|
|
Face Detection (SP)
|
100% |
4935
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
6889
81.9 IPS |
|
|
Face Detection (Q)
|
100% |
10511
124.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5937
45.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8749
67.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
11571
90.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15764
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20759
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
41090
53.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2398
88.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3575
132.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6851
253.7 IPS |
|
|
Text Classification (SP)
|
71% |
608
879.1 IPS |
|
|
Text Classification (HP)
|
71% |
686
992.7 IPS |
|
|
Text Classification (Q)
|
92% |
698
937.3 IPS |
|
|
Machine Translation (SP)
|
100% |
751
12.9 IPS |
|
|
Machine Translation (HP)
|
96% |
837
14.5 IPS |
|
|
Machine Translation (Q)
|
100% |
825
14.2 IPS |
