iPad (9th generation)
Geekbench AI Score
1184
Single Precision Score
3614
Half Precision Score
724
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 12:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
540
100.5 IPS |
|
|
Image Classification (HP)
|
100% |
2779
516.8 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
434
7.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (Q)
|
99% |
308
4.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
3273
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
28869
33.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
3542
4.15 IPS |
|
|
Object Detection (SP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (HP)
|
100% |
2449
194.3 IPS |
|
|
Object Detection (Q)
|
94% |
249
19.9 IPS |
|
|
Face Detection (SP)
|
100% |
1100
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
6970
82.8 IPS |
|
|
Face Detection (Q)
|
100% |
363
4.31 IPS |
|
|
Depth Estimation (SP)
|
100% |
1906
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23641
182.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1035
8.08 IPS |
|
|
Style Transfer (SP)
|
100% |
5215
6.70 IPS |
|
|
Style Transfer (HP)
|
100% |
10865
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
4642
5.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1703
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4514
166.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
637
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
458
611.4 IPS |
|
|
Text Classification (Q)
|
93% |
456
612.5 IPS |
|
|
Machine Translation (SP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1072
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1049
18.1 IPS |
