iPad14,3
Geekbench ML Score
1242
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | tntoak |
| Upload Date | November 24 2022 06:52 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.2 |
| Model | iPad14,3 |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1087
116.5 IPS |
|
|
Image Classification (F16)
|
100% |
1065
114.1 IPS |
|
|
Image Classification (I8)
|
81% |
729
78.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1480
9.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
1487
9.19 IPS |
|
|
Image Segmentation (I8)
|
89% |
1784
11.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
749
3.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
752
3.04 IPS |
|
|
Pose Estimation (I8)
|
80% |
889
3.60 IPS |
|
|
Object Detection (F32)
|
100% |
1674
58.8 IPS |
|
|
Object Detection (F16)
|
100% |
1675
58.8 IPS |
|
|
Object Detection (I8)
|
52% |
1057
37.1 IPS |
|
|
Face Detection (F32)
|
100% |
1959
22.5 IPS |
|
|
Face Detection (F16)
|
100% |
1965
22.6 IPS |
|
|
Face Detection (I8)
|
75% |
1222
14.0 IPS |
|
|
Text Classification (F32)
|
100% |
856
338.6 IPS |
|
|
Text Classification (F16)
|
100% |
853
337.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1915
295.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1924
296.6 IPS |
