iPad (9th generation)
Geekbench AI Score
1720
Single Precision Score
3151
Half Precision Score
2599
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 07:22 PM |
| Views | 1 |
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% |
791
147.1 IPS |
|
|
Image Classification (HP)
|
100% |
1394
259.2 IPS |
|
|
Image Classification (Q)
|
96% |
988
184.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
810
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1478
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3642
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
6568
7.66 IPS |
|
|
Pose Estimation (Q)
|
95% |
5824
6.83 IPS |
|
|
Object Detection (SP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (HP)
|
97% |
1611
128.2 IPS |
|
|
Object Detection (Q)
|
94% |
1164
92.8 IPS |
|
|
Face Detection (SP)
|
100% |
1635
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3241
38.5 IPS |
|
|
Face Detection (Q)
|
100% |
1857
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3161
24.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5943
45.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4340
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7670
9.86 IPS |
|
|
Style Transfer (HP)
|
100% |
14171
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12236
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1976
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2703
99.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2107
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
1291
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2168
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2140
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1302
22.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3202
55.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3196
55.2 IPS |
