Panasonic Corporation CFLV1-1
Geekbench AI Score
1869
Single Precision Score
1887
Half Precision Score
4568
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | December 04 2024 03:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-1185G7 @ 3.00GHz |
| 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% |
1050
195.3 IPS |
|
|
Image Classification (HP)
|
100% |
1121
208.4 IPS |
|
|
Image Classification (Q)
|
100% |
2462
457.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1238
20.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2769
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2210
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2217
2.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
8212
9.62 IPS |
|
|
Object Detection (SP)
|
100% |
1113
88.3 IPS |
|
|
Object Detection (HP)
|
100% |
1111
88.1 IPS |
|
|
Object Detection (Q)
|
88% |
2875
230.5 IPS |
|
|
Face Detection (SP)
|
100% |
3331
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3419
40.6 IPS |
|
|
Face Detection (Q)
|
100% |
7910
94.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2988
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3007
23.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
7473
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6093
7.83 IPS |
|
|
Style Transfer (HP)
|
100% |
6084
7.82 IPS |
|
|
Style Transfer (Q)
|
98% |
22401
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1327
49.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1320
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4617
171.0 IPS |
|
|
Text Classification (SP)
|
100% |
1315
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1325
1.77 KIPS |
|
|
Text Classification (Q)
|
92% |
2615
3.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1525
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1531
26.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1539
26.5 IPS |
