Panasonic Corporation CFLV1-1
Geekbench AI Score
1183
Single Precision Score
628
Half Precision Score
1802
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | SlippingStaff |
| Upload Date | December 04 2024 03:12 PM |
| Views | 12 |
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% |
713
132.7 IPS |
|
|
Image Classification (HP)
|
100% |
244
45.4 IPS |
|
|
Image Classification (Q)
|
99% |
1544
288.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
550
8.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
753
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1623
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1595
1.86 IPS |
|
|
Pose Estimation (Q)
|
95% |
6785
7.95 IPS |
|
|
Object Detection (SP)
|
100% |
762
60.4 IPS |
|
|
Object Detection (HP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (Q)
|
88% |
887
71.1 IPS |
|
|
Face Detection (SP)
|
100% |
1600
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
802
9.53 IPS |
|
|
Face Detection (Q)
|
97% |
2382
28.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2188
16.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
949
7.31 IPS |
|
|
Depth Estimation (Q)
|
77% |
3576
28.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4511
5.80 IPS |
|
|
Style Transfer (HP)
|
100% |
3661
4.71 IPS |
|
|
Style Transfer (Q)
|
98% |
10403
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
851
31.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
760
28.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1929
71.4 IPS |
|
|
Text Classification (SP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
374
499.8 IPS |
|
|
Text Classification (Q)
|
97% |
292
390.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
342
5.90 IPS |
|
|
Machine Translation (Q)
|
60% |
1038
23.2 IPS |
