iPad (9th generation)
Geekbench AI Score
919
Single Precision Score
1122
Half Precision Score
503
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 05:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 |
| Memory Information | |
|---|---|
| Size | 2.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
317
58.9 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.6 IPS |
|
|
Image Classification (Q)
|
97% |
243
45.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
339
5.49 IPS |
|
|
Image Segmentation (Q)
|
99% |
342
5.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
2308
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
3064
3.58 IPS |
|
|
Pose Estimation (Q)
|
95% |
1205
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (HP)
|
100% |
653
51.8 IPS |
|
|
Object Detection (Q)
|
94% |
299
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2523
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
3364
40.0 IPS |
|
|
Face Detection (Q)
|
100% |
379
4.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
2502
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3504
27.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
1015
7.92 IPS |
|
|
Style Transfer (SP)
|
100% |
6110
7.86 IPS |
|
|
Style Transfer (HP)
|
100% |
8465
10.9 IPS |
|
|
Style Transfer (Q)
|
96% |
2073
2.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1214
44.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1342
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
461
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
229
305.7 IPS |
|
|
Text Classification (HP)
|
100% |
408
544.9 IPS |
|
|
Text Classification (Q)
|
93% |
405
543.5 IPS |
|
|
Machine Translation (SP)
|
100% |
263
4.52 IPS |
|
|
Machine Translation (HP)
|
100% |
236
4.07 IPS |
|
|
Machine Translation (Q)
|
98% |
233
4.02 IPS |
