iPad (9th generation)
Geekbench ML Score
930
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 19 2024 04:25 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
283
53.0 IPS |
|
|
Image Classification (F16)
|
100% |
350
65.5 IPS |
|
|
Image Classification (I8)
|
99% |
339
63.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
225
3.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
245
4.09 IPS |
|
|
Image Segmentation (I8)
|
100% |
245
4.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
2272
2.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
3063
3.71 IPS |
|
|
Pose Estimation (I8)
|
100% |
3047
3.69 IPS |
|
|
Object Detection (F32)
|
100% |
451
33.7 IPS |
|
|
Object Detection (F16)
|
100% |
531
39.6 IPS |
|
|
Object Detection (I8)
|
97% |
400
29.9 IPS |
|
|
Face Detection (F32)
|
100% |
2232
26.5 IPS |
|
|
Face Detection (F16)
|
98% |
3154
37.5 IPS |
|
|
Face Detection (I8)
|
97% |
3073
36.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2486
19.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
3488
27.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
3476
27.0 IPS |
|
|
Style Transfer (F32)
|
100% |
5831
7.67 IPS |
|
|
Style Transfer (F16)
|
100% |
8045
10.6 IPS |
|
|
Style Transfer (I8)
|
100% |
8236
10.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1001
35.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1488
53.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1779
63.5 IPS |
|
|
Text Classification (F32)
|
100% |
234
336.9 IPS |
|
|
Text Classification (F16)
|
100% |
290
417.3 IPS |
|
|
Text Classification (I8)
|
96% |
296
425.0 IPS |
|
|
Machine Translation (F32)
|
100% |
216
3.98 IPS |
|
|
Machine Translation (F16)
|
100% |
196
3.60 IPS |
|
|
Machine Translation (I8)
|
99% |
219
4.03 IPS |
