Panasonic Corporation CFLV1-1
Geekbench AI Score
1287
Single Precision Score
668
Half Precision Score
1909
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | December 04 2024 03:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1185G7 |
| 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% |
686
127.5 IPS |
|
|
Image Classification (HP)
|
100% |
254
47.3 IPS |
|
|
Image Classification (Q)
|
99% |
1575
293.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
449
7.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
1157
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1838
2.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
1599
1.87 IPS |
|
|
Pose Estimation (Q)
|
95% |
6983
8.18 IPS |
|
|
Object Detection (SP)
|
100% |
859
68.1 IPS |
|
|
Object Detection (HP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (Q)
|
88% |
926
74.2 IPS |
|
|
Face Detection (SP)
|
100% |
1832
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
781
9.28 IPS |
|
|
Face Detection (Q)
|
97% |
2430
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2249
17.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1000
7.70 IPS |
|
|
Depth Estimation (Q)
|
77% |
3646
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4797
6.17 IPS |
|
|
Style Transfer (HP)
|
100% |
3860
4.96 IPS |
|
|
Style Transfer (Q)
|
98% |
10798
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1013
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
779
28.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1873
69.3 IPS |
|
|
Text Classification (SP)
|
100% |
783
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
384
512.6 IPS |
|
|
Text Classification (Q)
|
97% |
288
386.3 IPS |
|
|
Machine Translation (SP)
|
100% |
990
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (Q)
|
60% |
1060
23.6 IPS |
