iPad (9th generation)
Geekbench ML Score
900
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 04:11 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad (9th generation) |
| Model ID | iPad12,1 |
| Motherboard | J181AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.87 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
277
51.8 IPS |
|
|
Image Classification (F16)
|
100% |
334
62.5 IPS |
|
|
Image Classification (I8)
|
99% |
336
62.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
227
3.79 IPS |
|
|
Image Segmentation (F16)
|
100% |
251
4.20 IPS |
|
|
Image Segmentation (I8)
|
100% |
247
4.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
2268
2.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
3068
3.72 IPS |
|
|
Pose Estimation (I8)
|
100% |
3046
3.69 IPS |
|
|
Object Detection (F32)
|
100% |
480
35.8 IPS |
|
|
Object Detection (F16)
|
100% |
516
38.5 IPS |
|
|
Object Detection (I8)
|
97% |
488
36.4 IPS |
|
|
Face Detection (F32)
|
100% |
2321
27.6 IPS |
|
|
Face Detection (F16)
|
98% |
3144
37.4 IPS |
|
|
Face Detection (I8)
|
97% |
3154
37.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2461
19.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3467
26.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
3496
27.1 IPS |
|
|
Style Transfer (F32)
|
100% |
5897
7.76 IPS |
|
|
Style Transfer (F16)
|
100% |
7961
10.5 IPS |
|
|
Style Transfer (I8)
|
100% |
8239
10.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1199
42.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1410
50.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1392
49.7 IPS |
|
|
Text Classification (F32)
|
100% |
232
333.1 IPS |
|
|
Text Classification (F16)
|
100% |
299
429.9 IPS |
|
|
Text Classification (I8)
|
96% |
299
429.1 IPS |
|
|
Machine Translation (F32)
|
100% |
148
2.73 IPS |
|
|
Machine Translation (F16)
|
100% |
143
2.63 IPS |
|
|
Machine Translation (I8)
|
99% |
142
2.62 IPS |
