iPad (9th generation)
Geekbench AI Score
432
Single Precision Score
730
Half Precision Score
679
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
405
75.4 IPS |
|
|
Image Classification (HP)
|
100% |
651
121.1 IPS |
|
|
Image Classification (Q)
|
96% |
511
95.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
320
5.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.38 IPS |
|
|
Image Segmentation (Q)
|
99% |
404
6.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
452
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1025
1.20 IPS |
|
|
Pose Estimation (Q)
|
95% |
1173
1.38 IPS |
|
|
Object Detection (SP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (HP)
|
97% |
252
20.0 IPS |
|
|
Object Detection (Q)
|
94% |
283
22.6 IPS |
|
|
Face Detection (SP)
|
100% |
340
4.04 IPS |
|
|
Face Detection (HP)
|
100% |
757
9.00 IPS |
|
|
Face Detection (Q)
|
100% |
548
6.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
979
7.54 IPS |
|
|
Depth Estimation (HP)
|
97% |
1641
12.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
861
6.72 IPS |
|
|
Style Transfer (SP)
|
100% |
1147
1.48 IPS |
|
|
Style Transfer (HP)
|
100% |
2295
2.95 IPS |
|
|
Style Transfer (Q)
|
96% |
2203
2.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
391
14.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1005
37.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
632
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
472
629.5 IPS |
|
|
Text Classification (HP)
|
100% |
397
530.4 IPS |
|
|
Text Classification (Q)
|
93% |
771
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
357
6.15 IPS |
|
|
Machine Translation (HP)
|
98% |
1084
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
608
10.5 IPS |
