iPad (9th generation)
Geekbench ML Score
2026
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 04:06 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
786
147.0 IPS |
|
|
Image Classification (F16)
|
100% |
1385
259.2 IPS |
|
|
Image Classification (I8)
|
99% |
1378
257.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
437
7.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
544
9.09 IPS |
|
|
Image Segmentation (I8)
|
100% |
542
9.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
3544
4.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
6421
7.78 IPS |
|
|
Pose Estimation (I8)
|
100% |
6411
7.76 IPS |
|
|
Object Detection (F32)
|
100% |
705
52.6 IPS |
|
|
Object Detection (F16)
|
100% |
1366
101.9 IPS |
|
|
Object Detection (I8)
|
97% |
710
53.0 IPS |
|
|
Face Detection (F32)
|
100% |
1618
19.2 IPS |
|
|
Face Detection (F16)
|
97% |
3145
37.4 IPS |
|
|
Face Detection (I8)
|
97% |
3098
36.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3151
24.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
5955
46.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
5964
46.3 IPS |
|
|
Style Transfer (F32)
|
100% |
7728
10.2 IPS |
|
|
Style Transfer (F16)
|
100% |
13794
18.1 IPS |
|
|
Style Transfer (I8)
|
100% |
13861
18.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2164
77.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2787
99.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2751
98.3 IPS |
|
|
Text Classification (F32)
|
100% |
1225
1.76 KIPS |
|
|
Text Classification (F16)
|
100% |
2081
2.99 KIPS |
|
|
Text Classification (I8)
|
96% |
1991
2.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
637
11.7 IPS |
|
|
Machine Translation (F16)
|
100% |
918
16.9 IPS |
|
|
Machine Translation (I8)
|
99% |
641
11.8 IPS |
