iPad Pro (11-inch 3rd generation)
Geekbench ML Score
2859
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 29 2025 07:25 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4093
438.5 IPS |
|
|
Image Classification (F16)
|
100% |
5745
615.5 IPS |
|
|
Image Classification (I8)
|
81% |
689
73.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
8127
50.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
11647
71.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1257
7.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
2864
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
6815
27.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
241
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
3851
135.2 IPS |
|
|
Object Detection (F16)
|
100% |
3836
134.6 IPS |
|
|
Object Detection (I8)
|
52% |
987
34.6 IPS |
|
|
Face Detection (F32)
|
100% |
7016
80.6 IPS |
|
|
Face Detection (F16)
|
97% |
12420
142.7 IPS |
|
|
Face Detection (I8)
|
75% |
966
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
3383
1.34 KIPS |
|
|
Text Classification (F16)
|
100% |
3666
1.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
1844
284.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1833
282.5 IPS |
