iPad (9th generation)
Geekbench AI Score
1197
Single Precision Score
3571
Half Precision Score
742
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 15 2024 10:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
547
101.7 IPS |
|
|
Image Classification (HP)
|
100% |
2693
500.9 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
430
6.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
483
7.84 IPS |
|
|
Image Segmentation (Q)
|
99% |
309
5.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
3248
3.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
29251
34.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3482
4.08 IPS |
|
|
Object Detection (SP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
2397
190.1 IPS |
|
|
Object Detection (Q)
|
94% |
290
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
1166
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
6913
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
391
4.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
1999
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23659
182.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
1070
8.36 IPS |
|
|
Style Transfer (SP)
|
100% |
5417
6.96 IPS |
|
|
Style Transfer (HP)
|
100% |
10713
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
4582
5.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1660
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4343
160.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
632
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
462
617.3 IPS |
|
|
Text Classification (Q)
|
93% |
462
620.0 IPS |
|
|
Machine Translation (SP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1053
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1047
18.1 IPS |
