iPad (9th generation)
Geekbench AI Score
1672
Single Precision Score
3089
Half Precision Score
2568
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 19 2025 06:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
805
149.7 IPS |
|
|
Image Classification (HP)
|
100% |
1370
254.8 IPS |
|
|
Image Classification (Q)
|
96% |
976
182.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
788
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1178
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1366
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3640
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
6671
7.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
5899
6.91 IPS |
|
|
Object Detection (SP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (HP)
|
97% |
1584
126.1 IPS |
|
|
Object Detection (Q)
|
94% |
1155
92.1 IPS |
|
|
Face Detection (SP)
|
100% |
1608
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (Q)
|
100% |
1817
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3026
23.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5536
42.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4031
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7564
9.72 IPS |
|
|
Style Transfer (HP)
|
100% |
14601
18.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12358
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1784
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2580
95.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2064
76.2 IPS |
|
|
Text Classification (SP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2192
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2265
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1223
21.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3265
56.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3248
56.1 IPS |
