iPad (9th generation)
Geekbench AI Score
447
Single Precision Score
552
Half Precision Score
154
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 07:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 |
| Memory Information | |
|---|---|
| Size | 2.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
570
106.0 IPS |
|
|
Image Classification (HP)
|
100% |
525
97.6 IPS |
|
|
Image Classification (Q)
|
97% |
222
41.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
420
6.80 IPS |
|
|
Image Segmentation (Q)
|
99% |
288
4.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
1581
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2204
2.57 IPS |
|
|
Pose Estimation (Q)
|
95% |
1554
1.82 IPS |
|
|
Object Detection (SP)
|
100% |
609
48.3 IPS |
|
|
Object Detection (HP)
|
100% |
912
72.3 IPS |
|
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
0
|
||
|
Face Detection (HP)
|
0
|
||
|
Face Detection (Q)
|
0
|
||
|
Depth Estimation (SP)
|
100% |
2531
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3683
28.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
1023
7.98 IPS |
|
|
Style Transfer (SP)
|
100% |
6046
7.77 IPS |
|
|
Style Transfer (HP)
|
100% |
8346
10.7 IPS |
|
|
Style Transfer (Q)
|
96% |
2021
2.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1342
49.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1752
64.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
340
12.6 IPS |
|
|
Text Classification (SP)
|
100% |
241
322.2 IPS |
|
|
Text Classification (HP)
|
100% |
354
473.1 IPS |
|
|
Text Classification (Q)
|
93% |
384
514.9 IPS |
|
|
Machine Translation (SP)
|
100% |
304
5.24 IPS |
|
|
Machine Translation (HP)
|
100% |
312
5.37 IPS |
|
|
Machine Translation (Q)
|
98% |
296
5.12 IPS |
