Panasonic Corporation CFLV1-1
Geekbench AI Score
2656
Single Precision Score
3401
Half Precision Score
4984
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | December 04 2024 03:54 PM |
| Views | 5 |
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% |
1586
295.0 IPS |
|
|
Image Classification (HP)
|
100% |
2147
399.3 IPS |
|
|
Image Classification (Q)
|
99% |
2434
454.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3620
58.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4121
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6333
7.39 IPS |
|
|
Pose Estimation (HP)
|
99% |
5146
6.00 IPS |
|
|
Pose Estimation (Q)
|
97% |
18732
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.3 IPS |
|
|
Object Detection (HP)
|
100% |
2153
170.7 IPS |
|
|
Object Detection (Q)
|
90% |
3021
241.6 IPS |
|
|
Face Detection (SP)
|
100% |
4813
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
6784
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
10011
119.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5928
45.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8578
66.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
11311
88.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15848
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20956
26.9 IPS |
|
|
Style Transfer (Q)
|
98% |
40478
52.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2454
90.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3586
132.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6653
246.4 IPS |
|
|
Text Classification (SP)
|
71% |
589
852.6 IPS |
|
|
Text Classification (HP)
|
71% |
664
960.9 IPS |
|
|
Text Classification (Q)
|
92% |
663
890.7 IPS |
|
|
Machine Translation (SP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (HP)
|
96% |
829
14.3 IPS |
|
|
Machine Translation (Q)
|
100% |
825
14.2 IPS |
