iPad (9th generation)
Geekbench AI Score
1198
Single Precision Score
3589
Half Precision Score
740
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 28 2024 10:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
542
100.9 IPS |
|
|
Image Classification (HP)
|
100% |
2747
510.9 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
435
7.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
491
7.96 IPS |
|
|
Image Segmentation (Q)
|
99% |
308
4.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
3283
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
28371
33.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3518
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
578
45.9 IPS |
|
|
Object Detection (HP)
|
100% |
2432
192.9 IPS |
|
|
Object Detection (Q)
|
94% |
281
22.4 IPS |
|
|
Face Detection (SP)
|
100% |
1146
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
6990
83.1 IPS |
|
|
Face Detection (Q)
|
100% |
381
4.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
1973
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23423
180.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
1053
8.22 IPS |
|
|
Style Transfer (SP)
|
100% |
5331
6.85 IPS |
|
|
Style Transfer (HP)
|
100% |
10894
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
4719
6.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1680
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4354
160.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
639
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
462
616.9 IPS |
|
|
Text Classification (Q)
|
93% |
460
617.8 IPS |
|
|
Machine Translation (SP)
|
100% |
862
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1054
18.2 IPS |
