iPad (9th generation)
Geekbench AI Score
1195
Single Precision Score
3583
Half Precision Score
737
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 27 2024 09:40 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
545
101.4 IPS |
|
|
Image Classification (HP)
|
100% |
2735
508.6 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
437
7.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
485
7.87 IPS |
|
|
Image Segmentation (Q)
|
99% |
309
5.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
3281
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
29192
34.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3507
4.11 IPS |
|
|
Object Detection (SP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (HP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (Q)
|
94% |
291
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
1128
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
7154
85.0 IPS |
|
|
Face Detection (Q)
|
100% |
386
4.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1972
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23167
178.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
1044
8.16 IPS |
|
|
Style Transfer (SP)
|
100% |
5281
6.79 IPS |
|
|
Style Transfer (HP)
|
100% |
10794
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
4567
5.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1681
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4325
159.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
633
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
779
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
462
617.0 IPS |
|
|
Text Classification (Q)
|
93% |
458
614.2 IPS |
|
|
Machine Translation (SP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1042
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1028
17.8 IPS |
