iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
2825
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 08 2024 02:41 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.6.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| 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 | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4106
439.9 IPS |
|
|
Image Classification (F16)
|
100% |
5643
604.6 IPS |
|
|
Image Classification (I8)
|
81% |
687
73.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
8121
50.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
11817
73.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
1255
7.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
2861
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
6823
27.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
3549
124.5 IPS |
|
|
Object Detection (F16)
|
100% |
3392
119.0 IPS |
|
|
Object Detection (I8)
|
52% |
986
34.6 IPS |
|
|
Face Detection (F32)
|
100% |
6996
80.4 IPS |
|
|
Face Detection (F16)
|
97% |
12447
143.0 IPS |
|
|
Face Detection (I8)
|
75% |
959
11.0 IPS |
|
|
Text Classification (F32)
|
100% |
3342
1.32 KIPS |
|
|
Text Classification (F16)
|
100% |
3738
1.48 KIPS |
|
|
Machine Translation (F32)
|
100% |
1830
282.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1826
281.4 IPS |
