iPad (9th generation)
Geekbench AI Score
1726
Single Precision Score
3128
Half Precision Score
2598
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | EmilioDSin |
| Upload Date | September 16 2025 12:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
796
148.0 IPS |
|
|
Image Classification (HP)
|
100% |
1362
253.3 IPS |
|
|
Image Classification (Q)
|
96% |
985
183.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
844
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1239
20.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1456
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3580
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
6595
7.70 IPS |
|
|
Pose Estimation (Q)
|
95% |
5813
6.81 IPS |
|
|
Object Detection (SP)
|
100% |
785
62.3 IPS |
|
|
Object Detection (HP)
|
97% |
1586
126.3 IPS |
|
|
Object Detection (Q)
|
94% |
1158
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
1657
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (Q)
|
100% |
1836
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3111
24.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
5873
45.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
4331
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7592
9.76 IPS |
|
|
Style Transfer (HP)
|
100% |
14395
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12305
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1983
73.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2685
99.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2152
79.5 IPS |
|
|
Text Classification (SP)
|
100% |
1370
1.83 KIPS |
|
|
Text Classification (HP)
|
99% |
2247
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2241
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1175
20.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3125
54.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3080
53.2 IPS |
