iPad Pro (11-inch 3rd generation)
Geekbench ML Score
1012
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 20 2024 09:50 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.37 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
968
103.7 IPS |
|
|
Image Classification (F16)
|
100% |
955
102.4 IPS |
|
|
Image Classification (I8)
|
81% |
378
40.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1376
8.50 IPS |
|
|
Image Segmentation (F16)
|
100% |
1384
8.55 IPS |
|
|
Image Segmentation (I8)
|
89% |
1500
9.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
603
2.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
592
2.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
751
3.04 IPS |
|
|
Object Detection (F32)
|
100% |
1472
51.7 IPS |
|
|
Object Detection (F16)
|
100% |
1468
51.5 IPS |
|
|
Object Detection (I8)
|
52% |
613
21.5 IPS |
|
|
Face Detection (F32)
|
100% |
1672
19.2 IPS |
|
|
Face Detection (F16)
|
100% |
1645
18.9 IPS |
|
|
Face Detection (I8)
|
75% |
798
9.16 IPS |
|
|
Text Classification (F32)
|
100% |
730
288.8 IPS |
|
|
Text Classification (F16)
|
100% |
660
260.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1840
283.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1833
282.4 IPS |
