iPad (9th generation)
Geekbench AI Score
1744
Single Precision Score
3107
Half Precision Score
2592
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 02 2026 12:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
793
147.6 IPS |
|
|
Image Classification (HP)
|
100% |
1332
247.6 IPS |
|
|
Image Classification (Q)
|
96% |
968
180.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
840
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1191
19.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1460
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3664
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
6607
7.71 IPS |
|
|
Pose Estimation (Q)
|
95% |
5804
6.80 IPS |
|
|
Object Detection (SP)
|
100% |
777
61.6 IPS |
|
|
Object Detection (HP)
|
97% |
1573
125.2 IPS |
|
|
Object Detection (Q)
|
94% |
1156
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
1636
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (Q)
|
100% |
1844
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3152
24.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5868
45.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
4331
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7747
9.96 IPS |
|
|
Style Transfer (HP)
|
100% |
14383
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12254
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2010
74.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2673
98.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2132
78.7 IPS |
|
|
Text Classification (SP)
|
100% |
1374
1.83 KIPS |
|
|
Text Classification (HP)
|
99% |
2270
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2241
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3122
54.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3092
53.4 IPS |
