iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
1061
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 24 2023 10:00 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1027
110.0 IPS |
|
|
Image Classification (F16)
|
100% |
1012
108.5 IPS |
|
|
Image Classification (I8)
|
81% |
407
43.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1381
8.53 IPS |
|
|
Image Segmentation (F16)
|
100% |
1373
8.48 IPS |
|
|
Image Segmentation (I8)
|
89% |
1485
9.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
686
2.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
683
2.76 IPS |
|
|
Pose Estimation (I8)
|
80% |
795
3.22 IPS |
|
|
Object Detection (F32)
|
100% |
1571
55.1 IPS |
|
|
Object Detection (F16)
|
100% |
1541
54.1 IPS |
|
|
Object Detection (I8)
|
52% |
630
22.1 IPS |
|
|
Face Detection (F32)
|
100% |
1749
20.1 IPS |
|
|
Face Detection (F16)
|
100% |
1758
20.2 IPS |
|
|
Face Detection (I8)
|
75% |
813
9.34 IPS |
|
|
Text Classification (F32)
|
100% |
705
278.9 IPS |
|
|
Text Classification (F16)
|
100% |
703
278.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1935
298.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1927
297.0 IPS |
