Panasonic Corporation CFLV1-1
Geekbench AI Score
2644
Single Precision Score
3380
Half Precision Score
5162
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | December 04 2024 03:59 PM |
| Views | 8 |
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% |
1540
286.4 IPS |
|
|
Image Classification (HP)
|
100% |
2121
394.4 IPS |
|
|
Image Classification (Q)
|
99% |
2841
530.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3529
57.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4122
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6253
7.30 IPS |
|
|
Pose Estimation (HP)
|
99% |
4616
5.39 IPS |
|
|
Pose Estimation (Q)
|
97% |
18477
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
1532
121.6 IPS |
|
|
Object Detection (HP)
|
100% |
2219
176.1 IPS |
|
|
Object Detection (Q)
|
90% |
3134
250.5 IPS |
|
|
Face Detection (SP)
|
100% |
4911
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
6916
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
10442
124.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5986
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8769
67.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
11468
89.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15959
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20652
26.5 IPS |
|
|
Style Transfer (Q)
|
98% |
41263
53.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2368
87.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3524
130.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6851
253.7 IPS |
|
|
Text Classification (SP)
|
71% |
581
841.0 IPS |
|
|
Text Classification (HP)
|
71% |
689
997.1 IPS |
|
|
Text Classification (Q)
|
92% |
704
945.4 IPS |
|
|
Machine Translation (SP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (HP)
|
96% |
837
14.5 IPS |
|
|
Machine Translation (Q)
|
100% |
832
14.3 IPS |
