iPad Pro (11-inch 3rd generation)
Geekbench ML Score
1065
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 26 2023 07:58 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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 | 7.35 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% |
1013
108.6 IPS |
|
|
Image Classification (I8)
|
81% |
400
42.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1374
8.49 IPS |
|
|
Image Segmentation (F16)
|
100% |
1366
8.44 IPS |
|
|
Image Segmentation (I8)
|
89% |
1564
9.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
683
2.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
682
2.76 IPS |
|
|
Pose Estimation (I8)
|
80% |
797
3.22 IPS |
|
|
Object Detection (F32)
|
100% |
1511
53.0 IPS |
|
|
Object Detection (F16)
|
100% |
1548
54.3 IPS |
|
|
Object Detection (I8)
|
52% |
601
21.1 IPS |
|
|
Face Detection (F32)
|
100% |
1774
20.4 IPS |
|
|
Face Detection (F16)
|
100% |
1759
20.2 IPS |
|
|
Face Detection (I8)
|
75% |
785
9.02 IPS |
|
|
Text Classification (F32)
|
100% |
879
347.7 IPS |
|
|
Text Classification (F16)
|
100% |
702
277.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1869
288.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1869
288.0 IPS |
