iPad (9th generation)
Geekbench AI Score
373
Single Precision Score
773
Half Precision Score
775
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% |
333
62.0 IPS |
|
|
Image Classification (HP)
|
100% |
267
49.6 IPS |
|
|
Image Classification (Q)
|
96% |
286
53.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
122
1.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (Q)
|
99% |
388
6.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
445
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1201
1.40 IPS |
|
|
Pose Estimation (Q)
|
95% |
1344
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
196
15.6 IPS |
|
|
Object Detection (HP)
|
97% |
546
43.4 IPS |
|
|
Object Detection (Q)
|
94% |
451
36.0 IPS |
|
|
Face Detection (SP)
|
100% |
451
5.36 IPS |
|
|
Face Detection (HP)
|
100% |
888
10.5 IPS |
|
|
Face Detection (Q)
|
100% |
521
6.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
573
4.42 IPS |
|
|
Depth Estimation (HP)
|
97% |
1243
9.61 IPS |
|
|
Depth Estimation (Q)
|
86% |
1015
7.92 IPS |
|
|
Style Transfer (SP)
|
100% |
1144
1.47 IPS |
|
|
Style Transfer (HP)
|
100% |
4784
6.15 IPS |
|
|
Style Transfer (Q)
|
96% |
2598
3.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
395
14.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
928
34.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
500
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
373
497.7 IPS |
|
|
Text Classification (HP)
|
100% |
646
862.8 IPS |
|
|
Text Classification (Q)
|
93% |
1708
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (HP)
|
98% |
893
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
997
17.2 IPS |
