iPad (9th generation)
Geekbench AI Score
1154
Single Precision Score
3423
Half Precision Score
668
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jcpenni |
| Upload Date | October 24 2025 02:59 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
552
102.7 IPS |
|
|
Image Classification (HP)
|
100% |
2711
504.2 IPS |
|
|
Image Classification (Q)
|
97% |
260
48.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
417
6.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
430
6.97 IPS |
|
|
Image Segmentation (Q)
|
99% |
211
3.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
2530
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
26205
30.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
3148
3.69 IPS |
|
|
Object Detection (SP)
|
100% |
595
47.2 IPS |
|
|
Object Detection (HP)
|
100% |
2489
197.4 IPS |
|
|
Object Detection (Q)
|
94% |
268
21.4 IPS |
|
|
Face Detection (SP)
|
100% |
1154
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
7316
86.9 IPS |
|
|
Face Detection (Q)
|
100% |
368
4.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
1883
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23560
181.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
961
7.51 IPS |
|
|
Style Transfer (SP)
|
100% |
5113
6.57 IPS |
|
|
Style Transfer (HP)
|
100% |
9875
12.7 IPS |
|
|
Style Transfer (Q)
|
96% |
4227
5.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1652
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3737
138.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
582
21.5 IPS |
|
|
Text Classification (SP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
466
622.4 IPS |
|
|
Text Classification (Q)
|
93% |
456
612.5 IPS |
|
|
Machine Translation (SP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
978
16.9 IPS |
