iPad (9th generation)
Geekbench AI Score
1676
Single Precision Score
3113
Half Precision Score
2560
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | LavarierX |
| Upload Date | November 12 2024 12:25 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
794
147.7 IPS |
|
|
Image Classification (HP)
|
100% |
1394
259.2 IPS |
|
|
Image Classification (Q)
|
96% |
988
184.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
804
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1455
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3460
4.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
6355
7.42 IPS |
|
|
Pose Estimation (Q)
|
95% |
5510
6.46 IPS |
|
|
Object Detection (SP)
|
100% |
722
57.3 IPS |
|
|
Object Detection (HP)
|
97% |
1594
126.9 IPS |
|
|
Object Detection (Q)
|
94% |
1166
93.0 IPS |
|
|
Face Detection (SP)
|
100% |
1586
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (Q)
|
100% |
1796
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3004
23.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5859
45.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4232
33.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7345
9.44 IPS |
|
|
Style Transfer (HP)
|
100% |
13861
17.8 IPS |
|
|
Style Transfer (Q)
|
96% |
11990
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1931
71.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2701
99.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2100
77.5 IPS |
|
|
Text Classification (SP)
|
100% |
1293
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2162
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2162
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3181
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3172
54.8 IPS |
