iPad (9th generation)
Geekbench AI Score
1739
Single Precision Score
3130
Half Precision Score
2599
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 08:52 AM |
| Views | 4 |
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% |
799
148.6 IPS |
|
|
Image Classification (HP)
|
100% |
1342
249.6 IPS |
|
|
Image Classification (Q)
|
96% |
972
181.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
844
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1237
20.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1451
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3634
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
6647
7.76 IPS |
|
|
Pose Estimation (Q)
|
95% |
5835
6.84 IPS |
|
|
Object Detection (SP)
|
100% |
781
61.9 IPS |
|
|
Object Detection (HP)
|
97% |
1582
126.0 IPS |
|
|
Object Detection (Q)
|
94% |
1163
92.7 IPS |
|
|
Face Detection (SP)
|
100% |
1666
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
3212
38.2 IPS |
|
|
Face Detection (Q)
|
100% |
1852
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3160
24.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5866
45.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4347
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7728
9.93 IPS |
|
|
Style Transfer (HP)
|
100% |
14438
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12327
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2024
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2678
98.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2157
79.6 IPS |
|
|
Text Classification (SP)
|
100% |
1386
1.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2227
2.97 KIPS |
|
|
Text Classification (Q)
|
93% |
2214
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1159
20.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3190
55.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3107
53.7 IPS |
