iPad (9th generation)
Geekbench AI Score
1743
Single Precision Score
3153
Half Precision Score
2622
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 06 2026 11:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1334
248.0 IPS |
|
|
Image Classification (Q)
|
96% |
967
180.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1466
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3650
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
6648
7.76 IPS |
|
|
Pose Estimation (Q)
|
95% |
5917
6.94 IPS |
|
|
Object Detection (SP)
|
100% |
775
61.5 IPS |
|
|
Object Detection (HP)
|
97% |
1583
126.1 IPS |
|
|
Object Detection (Q)
|
94% |
1168
93.1 IPS |
|
|
Face Detection (SP)
|
100% |
1667
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
3200
38.0 IPS |
|
|
Face Detection (Q)
|
100% |
1863
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3180
24.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5882
45.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4364
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7755
9.97 IPS |
|
|
Style Transfer (HP)
|
100% |
14454
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12350
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2012
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2747
101.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2167
80.0 IPS |
|
|
Text Classification (SP)
|
100% |
1394
1.86 KIPS |
|
|
Text Classification (HP)
|
99% |
2270
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2225
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1157
19.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3264
56.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3247
56.1 IPS |
