iPad (9th generation)
Geekbench AI Score
923
Single Precision Score
1131
Half Precision Score
502
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2024 11:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
306
56.9 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.5 IPS |
|
|
Image Classification (Q)
|
97% |
241
45.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
342
5.55 IPS |
|
|
Image Segmentation (Q)
|
99% |
341
5.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
2364
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3158
3.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
1228
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
675
53.5 IPS |
|
|
Object Detection (HP)
|
100% |
680
53.9 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2522
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
3330
39.6 IPS |
|
|
Face Detection (Q)
|
100% |
378
4.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
2502
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3510
27.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
1016
7.93 IPS |
|
|
Style Transfer (SP)
|
100% |
6122
7.87 IPS |
|
|
Style Transfer (HP)
|
100% |
8608
11.1 IPS |
|
|
Style Transfer (Q)
|
96% |
2065
2.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1241
45.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1341
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
459
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
236
315.0 IPS |
|
|
Text Classification (HP)
|
100% |
405
541.2 IPS |
|
|
Text Classification (Q)
|
93% |
404
542.5 IPS |
|
|
Machine Translation (SP)
|
100% |
263
4.53 IPS |
|
|
Machine Translation (HP)
|
100% |
237
4.08 IPS |
|
|
Machine Translation (Q)
|
98% |
234
4.04 IPS |
