iPad (9th generation)
Geekbench AI Score
1694
Single Precision Score
3113
Half Precision Score
2561
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 09:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| 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 |
| Memory Information | |
|---|---|
| Size | 2.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
787
146.4 IPS |
|
|
Image Classification (HP)
|
100% |
1391
258.7 IPS |
|
|
Image Classification (Q)
|
96% |
988
184.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
804
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1459
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3502
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
6316
7.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
5687
6.67 IPS |
|
|
Object Detection (SP)
|
100% |
727
57.6 IPS |
|
|
Object Detection (HP)
|
97% |
1586
126.2 IPS |
|
|
Object Detection (Q)
|
94% |
1140
90.9 IPS |
|
|
Face Detection (SP)
|
100% |
1609
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3196
38.0 IPS |
|
|
Face Detection (Q)
|
100% |
1790
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3051
23.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5904
45.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4243
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7449
9.58 IPS |
|
|
Style Transfer (HP)
|
100% |
13996
18.0 IPS |
|
|
Style Transfer (Q)
|
96% |
12136
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1969
72.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2694
99.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2090
77.2 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2194
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2146
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1297
22.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3110
53.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3148
54.4 IPS |
