iPad (9th generation)
Geekbench AI Score
1184
Single Precision Score
3564
Half Precision Score
731
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | UvarovAndrey |
| Upload Date | December 27 2024 07:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
553
102.9 IPS |
|
|
Image Classification (HP)
|
100% |
2703
502.7 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
430
6.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
485
7.87 IPS |
|
|
Image Segmentation (Q)
|
99% |
301
4.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
3172
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
28209
32.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
3473
4.07 IPS |
|
|
Object Detection (SP)
|
100% |
573
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
2473
196.1 IPS |
|
|
Object Detection (Q)
|
94% |
286
22.8 IPS |
|
|
Face Detection (SP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
7126
84.7 IPS |
|
|
Face Detection (Q)
|
100% |
381
4.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
1961
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23348
179.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
1030
8.05 IPS |
|
|
Style Transfer (SP)
|
100% |
5221
6.71 IPS |
|
|
Style Transfer (HP)
|
100% |
10525
13.5 IPS |
|
|
Style Transfer (Q)
|
96% |
4522
5.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4337
160.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
629
23.2 IPS |
|
|
Text Classification (SP)
|
100% |
779
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
459
612.7 IPS |
|
|
Text Classification (Q)
|
93% |
460
617.9 IPS |
|
|
Machine Translation (SP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1038
17.9 IPS |
