iPad Pro (11-inch 3rd generation)
Geekbench ML Score
1019
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 03 2021 04:27 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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 | 7.24 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
942
101.0 IPS |
|
|
Image Classification (F16)
|
100% |
937
100.4 IPS |
|
|
Image Classification (I8)
|
81% |
421
45.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1325
8.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
1327
8.20 IPS |
|
|
Image Segmentation (I8)
|
89% |
1513
9.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
673
2.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
672
2.72 IPS |
|
|
Pose Estimation (I8)
|
80% |
801
3.24 IPS |
|
|
Object Detection (F32)
|
100% |
1464
51.4 IPS |
|
|
Object Detection (F16)
|
100% |
1469
51.6 IPS |
|
|
Object Detection (I8)
|
52% |
646
22.7 IPS |
|
|
Face Detection (F32)
|
100% |
1629
18.7 IPS |
|
|
Face Detection (F16)
|
100% |
1629
18.7 IPS |
|
|
Face Detection (I8)
|
75% |
826
9.49 IPS |
|
|
Text Classification (F32)
|
100% |
640
253.2 IPS |
|
|
Text Classification (F16)
|
100% |
617
244.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1840
283.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1838
283.2 IPS |
