Panasonic Corporation CFLV1-1
Geekbench AI Score
1900
Single Precision Score
1881
Half Precision Score
4704
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | December 04 2024 03:49 PM |
| Views | 7 |
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% |
1155
214.8 IPS |
|
|
Image Classification (HP)
|
100% |
1156
214.9 IPS |
|
|
Image Classification (Q)
|
100% |
3209
596.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2805
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2215
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2219
2.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
8571
10.0 IPS |
|
|
Object Detection (SP)
|
100% |
1109
88.0 IPS |
|
|
Object Detection (HP)
|
100% |
1112
88.2 IPS |
|
|
Object Detection (Q)
|
88% |
3135
251.3 IPS |
|
|
Face Detection (SP)
|
100% |
3428
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
3411
40.5 IPS |
|
|
Face Detection (Q)
|
100% |
6892
81.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3001
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2949
22.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
8283
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6033
7.76 IPS |
|
|
Style Transfer (HP)
|
100% |
6085
7.82 IPS |
|
|
Style Transfer (Q)
|
98% |
21855
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1329
49.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1330
49.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4499
166.6 IPS |
|
|
Text Classification (SP)
|
100% |
1312
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1209
1.61 KIPS |
|
|
Text Classification (Q)
|
92% |
2607
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1547
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1531
26.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1500
25.8 IPS |
