Panasonic Corporation CFLV1-1
Geekbench AI Score
1851
Single Precision Score
1906
Half Precision Score
1143
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | December 04 2024 03:31 PM |
| Views | 5 |
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% |
745
138.5 IPS |
|
|
Image Classification (HP)
|
100% |
782
145.5 IPS |
|
|
Image Classification (Q)
|
99% |
608
113.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1201
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
890
14.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8404
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
8377
9.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
4162
4.88 IPS |
|
|
Object Detection (SP)
|
100% |
895
71.0 IPS |
|
|
Object Detection (HP)
|
98% |
832
66.2 IPS |
|
|
Object Detection (Q)
|
89% |
704
56.3 IPS |
|
|
Face Detection (SP)
|
100% |
1836
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
2112
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
1251
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3973
30.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
4425
34.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
2706
21.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17494
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22126
28.4 IPS |
|
|
Style Transfer (Q)
|
98% |
11032
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2338
86.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2954
109.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1029
38.1 IPS |
|
|
Text Classification (SP)
|
100% |
409
545.8 IPS |
|
|
Text Classification (HP)
|
100% |
255
340.7 IPS |
|
|
Text Classification (Q)
|
97% |
264
353.7 IPS |
|
|
Machine Translation (SP)
|
100% |
577
9.94 IPS |
|
|
Machine Translation (HP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (Q)
|
60% |
237
5.29 IPS |
