Panasonic Corporation CFLV1-1
Geekbench AI Score
1886
Single Precision Score
1940
Half Precision Score
1159
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | December 04 2024 03:35 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
771
143.5 IPS |
|
|
Image Classification (HP)
|
100% |
808
150.2 IPS |
|
|
Image Classification (Q)
|
99% |
617
115.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1207
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
907
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8502
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
8626
10.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
4163
4.88 IPS |
|
|
Object Detection (SP)
|
100% |
905
71.8 IPS |
|
|
Object Detection (HP)
|
98% |
852
67.8 IPS |
|
|
Object Detection (Q)
|
89% |
714
57.2 IPS |
|
|
Face Detection (SP)
|
100% |
1835
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
2110
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
1262
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4008
30.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4411
34.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
2720
21.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17611
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22030
28.3 IPS |
|
|
Style Transfer (Q)
|
98% |
11141
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2396
88.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3018
111.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1036
38.4 IPS |
|
|
Text Classification (SP)
|
100% |
434
579.5 IPS |
|
|
Text Classification (HP)
|
100% |
273
364.0 IPS |
|
|
Text Classification (Q)
|
97% |
283
378.4 IPS |
|
|
Machine Translation (SP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
550
9.48 IPS |
|
|
Machine Translation (Q)
|
60% |
236
5.26 IPS |
