iPad (9th generation)
Geekbench AI Score
1724
Single Precision Score
3069
Half Precision Score
2546
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 07:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
804
149.5 IPS |
|
|
Image Classification (HP)
|
100% |
1328
247.0 IPS |
|
|
Image Classification (Q)
|
96% |
964
180.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
839
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1209
19.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1433
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3436
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
6317
7.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
5534
6.49 IPS |
|
|
Object Detection (SP)
|
100% |
776
61.6 IPS |
|
|
Object Detection (HP)
|
97% |
1551
123.5 IPS |
|
|
Object Detection (Q)
|
94% |
1140
90.9 IPS |
|
|
Face Detection (SP)
|
100% |
1617
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
3113
37.0 IPS |
|
|
Face Detection (Q)
|
100% |
1775
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3055
23.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5832
45.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
4203
32.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7332
9.43 IPS |
|
|
Style Transfer (HP)
|
100% |
14074
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
12032
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1921
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2666
98.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2136
78.9 IPS |
|
|
Text Classification (SP)
|
100% |
1383
1.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2255
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2246
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1344
23.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3072
53.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3052
52.7 IPS |
