iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
1055
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 15 2023 02:15 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.3 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| 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
110.1 IPS |
|
|
Image Classification (F16)
|
100% |
1019
109.2 IPS |
|
|
Image Classification (I8)
|
81% |
419
44.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1365
8.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
1364
8.42 IPS |
|
|
Image Segmentation (I8)
|
89% |
1544
9.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
680
2.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
675
2.73 IPS |
|
|
Pose Estimation (I8)
|
80% |
794
3.21 IPS |
|
|
Object Detection (F32)
|
100% |
1508
52.9 IPS |
|
|
Object Detection (F16)
|
100% |
1524
53.5 IPS |
|
|
Object Detection (I8)
|
52% |
614
21.6 IPS |
|
|
Face Detection (F32)
|
100% |
1766
20.3 IPS |
|
|
Face Detection (F16)
|
100% |
1761
20.2 IPS |
|
|
Face Detection (I8)
|
75% |
820
9.43 IPS |
|
|
Text Classification (F32)
|
100% |
719
284.4 IPS |
|
|
Text Classification (F16)
|
100% |
672
265.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1886
290.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1868
288.0 IPS |
