iPad (9th generation)
Geekbench AI Score
1204
Single Precision Score
3558
Half Precision Score
744
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 16 2024 10:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
546
101.5 IPS |
|
|
Image Classification (HP)
|
100% |
2663
495.2 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
491
7.95 IPS |
|
|
Image Segmentation (Q)
|
99% |
308
4.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
3288
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
28271
33.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
3455
4.05 IPS |
|
|
Object Detection (SP)
|
100% |
578
45.9 IPS |
|
|
Object Detection (HP)
|
100% |
2395
190.0 IPS |
|
|
Object Detection (Q)
|
94% |
290
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
1140
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
6938
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
394
4.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
2021
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23318
179.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
1073
8.38 IPS |
|
|
Style Transfer (SP)
|
100% |
5472
7.03 IPS |
|
|
Style Transfer (HP)
|
100% |
10851
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
4707
6.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4324
159.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
632
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
460
613.9 IPS |
|
|
Text Classification (Q)
|
93% |
459
616.3 IPS |
|
|
Machine Translation (SP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1052
18.2 IPS |
