iPad (9th generation)
Geekbench AI Score
1694
Single Precision Score
3130
Half Precision Score
2591
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 05:21 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% |
790
146.8 IPS |
|
|
Image Classification (HP)
|
100% |
1393
259.0 IPS |
|
|
Image Classification (Q)
|
96% |
987
184.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
811
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1460
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3633
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
6475
7.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
5810
6.81 IPS |
|
|
Object Detection (SP)
|
100% |
738
58.5 IPS |
|
|
Object Detection (HP)
|
97% |
1604
127.7 IPS |
|
|
Object Detection (Q)
|
94% |
1153
91.9 IPS |
|
|
Face Detection (SP)
|
100% |
1604
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3210
38.1 IPS |
|
|
Face Detection (Q)
|
100% |
1831
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2829
21.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
5943
45.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4302
33.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7241
9.31 IPS |
|
|
Style Transfer (HP)
|
100% |
13722
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12230
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2083
76.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2721
100.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2104
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
1296
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2160
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2202
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3177
54.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3169
54.8 IPS |
