iPad (9th generation)
Geekbench AI Score
927
Single Precision Score
1109
Half Precision Score
509
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | rothomp3 |
| Upload Date | August 20 2025 02:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
291
54.2 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.3 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
342
5.55 IPS |
|
|
Image Segmentation (Q)
|
99% |
346
5.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
2370
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3168
3.70 IPS |
|
|
Pose Estimation (Q)
|
95% |
1300
1.52 IPS |
|
|
Object Detection (SP)
|
100% |
615
48.8 IPS |
|
|
Object Detection (HP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (Q)
|
94% |
300
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
2528
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
3318
39.4 IPS |
|
|
Face Detection (Q)
|
100% |
387
4.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
2502
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3356
25.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
1024
8.00 IPS |
|
|
Style Transfer (SP)
|
100% |
6128
7.88 IPS |
|
|
Style Transfer (HP)
|
100% |
8658
11.1 IPS |
|
|
Style Transfer (Q)
|
96% |
2105
2.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1165
43.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1283
47.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
461
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
231
308.9 IPS |
|
|
Text Classification (HP)
|
100% |
385
514.3 IPS |
|
|
Text Classification (Q)
|
93% |
385
516.9 IPS |
|
|
Machine Translation (SP)
|
100% |
336
5.79 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.18 IPS |
|
|
Machine Translation (Q)
|
98% |
244
4.22 IPS |
