iPad (9th generation)
Geekbench AI Score
1197
Single Precision Score
3674
Half Precision Score
748
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 08:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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
102.6 IPS |
|
|
Image Classification (HP)
|
100% |
2797
520.2 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
430
6.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
491
7.96 IPS |
|
|
Image Segmentation (Q)
|
99% |
307
4.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
3305
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
29485
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
3607
4.23 IPS |
|
|
Object Detection (SP)
|
100% |
581
46.1 IPS |
|
|
Object Detection (HP)
|
100% |
2611
207.1 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.7 IPS |
|
|
Face Detection (SP)
|
100% |
1125
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
7528
89.5 IPS |
|
|
Face Detection (Q)
|
100% |
387
4.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
1953
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23857
183.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
1060
8.28 IPS |
|
|
Style Transfer (SP)
|
100% |
5345
6.87 IPS |
|
|
Style Transfer (HP)
|
100% |
11046
14.2 IPS |
|
|
Style Transfer (Q)
|
96% |
4728
6.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1702
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4373
161.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
641
23.7 IPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
461
615.8 IPS |
|
|
Text Classification (Q)
|
93% |
460
617.5 IPS |
|
|
Machine Translation (SP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1053
18.2 IPS |
