iPad (9th generation)
Geekbench AI Score
916
Single Precision Score
1125
Half Precision Score
507
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 17 2024 11:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
297
55.2 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.5 IPS |
|
|
Image Classification (Q)
|
97% |
243
45.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
342
5.55 IPS |
|
|
Image Segmentation (Q)
|
99% |
343
5.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
2373
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3210
3.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
1242
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
622
49.3 IPS |
|
|
Object Detection (HP)
|
100% |
642
50.9 IPS |
|
|
Object Detection (Q)
|
94% |
299
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2529
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3370
40.0 IPS |
|
|
Face Detection (Q)
|
100% |
387
4.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
2517
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3524
27.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
1035
8.08 IPS |
|
|
Style Transfer (SP)
|
100% |
6176
7.94 IPS |
|
|
Style Transfer (HP)
|
100% |
8575
11.0 IPS |
|
|
Style Transfer (Q)
|
96% |
2052
2.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1225
45.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1299
48.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
460
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
239
318.8 IPS |
|
|
Text Classification (HP)
|
100% |
408
544.7 IPS |
|
|
Text Classification (Q)
|
93% |
408
547.5 IPS |
|
|
Machine Translation (SP)
|
100% |
266
4.58 IPS |
|
|
Machine Translation (HP)
|
100% |
237
4.09 IPS |
|
|
Machine Translation (Q)
|
98% |
237
4.10 IPS |
