Panasonic Corporation CFLV1-1
Geekbench AI Score
1878
Single Precision Score
1933
Half Precision Score
1149
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | December 04 2024 03:27 PM |
| Views | 6 |
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% |
768
142.8 IPS |
|
|
Image Classification (HP)
|
100% |
798
148.4 IPS |
|
|
Image Classification (Q)
|
99% |
620
115.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1207
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
860
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8493
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
8478
9.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
4160
4.87 IPS |
|
|
Object Detection (SP)
|
100% |
909
72.1 IPS |
|
|
Object Detection (HP)
|
98% |
853
67.9 IPS |
|
|
Object Detection (Q)
|
89% |
693
55.4 IPS |
|
|
Face Detection (SP)
|
100% |
1836
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
2110
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
1251
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4008
30.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4363
33.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
2722
21.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17356
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22170
28.5 IPS |
|
|
Style Transfer (Q)
|
98% |
11147
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2380
87.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2997
110.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1032
38.2 IPS |
|
|
Text Classification (SP)
|
100% |
430
574.5 IPS |
|
|
Text Classification (HP)
|
100% |
275
366.6 IPS |
|
|
Text Classification (Q)
|
97% |
282
377.3 IPS |
|
|
Machine Translation (SP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
550
9.48 IPS |
|
|
Machine Translation (Q)
|
60% |
238
5.30 IPS |
