iPad Pro (11-inch 3rd generation)
Geekbench ML Score
1011
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 18 2022 12:47 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 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% |
936
100.3 IPS |
|
|
Image Classification (F16)
|
100% |
937
100.4 IPS |
|
|
Image Classification (I8)
|
81% |
394
42.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1331
8.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
1329
8.21 IPS |
|
|
Image Segmentation (I8)
|
89% |
1505
9.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
671
2.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
675
2.73 IPS |
|
|
Pose Estimation (I8)
|
80% |
793
3.21 IPS |
|
|
Object Detection (F32)
|
100% |
1456
51.1 IPS |
|
|
Object Detection (F16)
|
100% |
1459
51.2 IPS |
|
|
Object Detection (I8)
|
52% |
617
21.6 IPS |
|
|
Face Detection (F32)
|
100% |
1631
18.7 IPS |
|
|
Face Detection (F16)
|
100% |
1629
18.7 IPS |
|
|
Face Detection (I8)
|
75% |
805
9.25 IPS |
|
|
Text Classification (F32)
|
100% |
615
243.2 IPS |
|
|
Text Classification (F16)
|
100% |
633
250.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1853
285.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1845
284.3 IPS |
