iPad (9th generation)
Geekbench AI Score
1705
Single Precision Score
3141
Half Precision Score
2548
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 09 2024 11:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
778
144.7 IPS |
|
|
Image Classification (HP)
|
100% |
1390
258.6 IPS |
|
|
Image Classification (Q)
|
96% |
991
185.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
831
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1411
22.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3469
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
6408
7.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
5643
6.61 IPS |
|
|
Object Detection (SP)
|
100% |
748
59.4 IPS |
|
|
Object Detection (HP)
|
97% |
1608
128.0 IPS |
|
|
Object Detection (Q)
|
94% |
1154
92.0 IPS |
|
|
Face Detection (SP)
|
100% |
1616
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
3219
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1836
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3153
24.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5955
46.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
4319
33.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7724
9.93 IPS |
|
|
Style Transfer (HP)
|
100% |
14579
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12486
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2015
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2692
99.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1882
69.5 IPS |
|
|
Text Classification (SP)
|
100% |
1295
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2158
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2139
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1206
20.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3176
54.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3190
55.1 IPS |
