iPad (9th generation)
Geekbench AI Score
1715
Single Precision Score
3153
Half Precision Score
2600
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 10:31 AM |
| Views | 1 |
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% |
776
144.2 IPS |
|
|
Image Classification (HP)
|
100% |
1390
258.5 IPS |
|
|
Image Classification (Q)
|
96% |
991
185.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
804
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1466
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3551
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
6525
7.61 IPS |
|
|
Pose Estimation (Q)
|
95% |
5795
6.79 IPS |
|
|
Object Detection (SP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (HP)
|
97% |
1602
127.6 IPS |
|
|
Object Detection (Q)
|
94% |
1160
92.5 IPS |
|
|
Face Detection (SP)
|
100% |
1627
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3217
38.2 IPS |
|
|
Face Detection (Q)
|
100% |
1848
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3139
24.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5926
45.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4339
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7676
9.87 IPS |
|
|
Style Transfer (HP)
|
100% |
14130
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12210
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1996
73.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2705
99.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2101
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1300
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2218
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3168
54.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3174
54.8 IPS |
