iPad14,3
Geekbench ML Score
1329
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | Bill12 |
| Upload Date | September 29 2023 01:45 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| Model | iPad14,3 |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 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 | 7.34 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1195
128.1 IPS |
|
|
Image Classification (F16)
|
100% |
1188
127.2 IPS |
|
|
Image Classification (I8)
|
81% |
682
73.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1482
9.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
1437
8.87 IPS |
|
|
Image Segmentation (I8)
|
89% |
1760
10.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
767
3.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
767
3.10 IPS |
|
|
Pose Estimation (I8)
|
80% |
886
3.58 IPS |
|
|
Object Detection (F32)
|
100% |
1795
63.0 IPS |
|
|
Object Detection (F16)
|
100% |
1808
63.5 IPS |
|
|
Object Detection (I8)
|
52% |
1045
36.7 IPS |
|
|
Face Detection (F32)
|
100% |
2138
24.6 IPS |
|
|
Face Detection (F16)
|
100% |
2101
24.1 IPS |
|
|
Face Detection (I8)
|
75% |
1214
13.9 IPS |
|
|
Text Classification (F32)
|
100% |
1104
436.8 IPS |
|
|
Text Classification (F16)
|
100% |
1520
601.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1950
300.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1955
301.3 IPS |
