iPad Pro (11-inch 3rd generation)
Geekbench ML Score
1057
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 15 2023 12:46 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.1 |
| 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 | 7.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1050
112.5 IPS |
|
|
Image Classification (F16)
|
100% |
1019
109.1 IPS |
|
|
Image Classification (I8)
|
81% |
382
41.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1372
8.48 IPS |
|
|
Image Segmentation (F16)
|
100% |
1371
8.47 IPS |
|
|
Image Segmentation (I8)
|
89% |
1490
9.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
682
2.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
681
2.76 IPS |
|
|
Pose Estimation (I8)
|
80% |
798
3.23 IPS |
|
|
Object Detection (F32)
|
100% |
1543
54.2 IPS |
|
|
Object Detection (F16)
|
100% |
1550
54.4 IPS |
|
|
Object Detection (I8)
|
52% |
592
20.8 IPS |
|
|
Face Detection (F32)
|
100% |
1757
20.2 IPS |
|
|
Face Detection (F16)
|
100% |
1757
20.2 IPS |
|
|
Face Detection (I8)
|
75% |
800
9.19 IPS |
|
|
Text Classification (F32)
|
100% |
735
290.7 IPS |
|
|
Text Classification (F16)
|
100% |
732
289.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1918
295.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1902
293.1 IPS |
