Panasonic Corporation CFLV1-1
Geekbench AI Score
1247
Single Precision Score
659
Half Precision Score
1900
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | December 04 2024 03:17 PM |
| Views | 6 |
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% |
722
134.3 IPS |
|
|
Image Classification (HP)
|
100% |
251
46.8 IPS |
|
|
Image Classification (Q)
|
99% |
1538
286.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
416
6.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
1199
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1841
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1553
1.81 IPS |
|
|
Pose Estimation (Q)
|
95% |
6870
8.05 IPS |
|
|
Object Detection (SP)
|
100% |
787
62.5 IPS |
|
|
Object Detection (HP)
|
100% |
314
24.9 IPS |
|
|
Object Detection (Q)
|
88% |
915
73.3 IPS |
|
|
Face Detection (SP)
|
100% |
1544
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
796
9.45 IPS |
|
|
Face Detection (Q)
|
97% |
2471
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2387
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
976
7.52 IPS |
|
|
Depth Estimation (Q)
|
77% |
3644
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4988
6.41 IPS |
|
|
Style Transfer (HP)
|
100% |
3812
4.90 IPS |
|
|
Style Transfer (Q)
|
98% |
9864
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
996
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
845
31.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1915
70.9 IPS |
|
|
Text Classification (SP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
343
458.2 IPS |
|
|
Text Classification (Q)
|
97% |
295
394.4 IPS |
|
|
Machine Translation (SP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (Q)
|
60% |
1058
23.6 IPS |
