iPad (9th generation)
Geekbench AI Score
910
Single Precision Score
1123
Half Precision Score
503
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 20 2024 12:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
287
53.4 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.6 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
337
5.46 IPS |
|
|
Image Segmentation (Q)
|
99% |
340
5.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
2373
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3200
3.73 IPS |
|
|
Pose Estimation (Q)
|
95% |
1287
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (HP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (Q)
|
94% |
299
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2604
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
3316
39.4 IPS |
|
|
Face Detection (Q)
|
100% |
378
4.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
2512
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3511
27.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1033
8.07 IPS |
|
|
Style Transfer (SP)
|
100% |
6138
7.89 IPS |
|
|
Style Transfer (HP)
|
100% |
8565
11.0 IPS |
|
|
Style Transfer (Q)
|
96% |
2099
2.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1191
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1374
50.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
459
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.6 IPS |
|
|
Text Classification (HP)
|
100% |
407
543.6 IPS |
|
|
Text Classification (Q)
|
93% |
405
543.1 IPS |
|
|
Machine Translation (SP)
|
100% |
259
4.47 IPS |
|
|
Machine Translation (HP)
|
100% |
220
3.79 IPS |
|
|
Machine Translation (Q)
|
98% |
217
3.75 IPS |
