iPad (9th generation)
Geekbench AI Score
1181
Single Precision Score
3605
Half Precision Score
736
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 23 2024 01:31 PM |
| Views | 5 |
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% |
539
100.3 IPS |
|
|
Image Classification (HP)
|
100% |
2836
527.4 IPS |
|
|
Image Classification (Q)
|
97% |
276
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
432
7.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
488
7.92 IPS |
|
|
Image Segmentation (Q)
|
99% |
303
4.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
3232
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
28981
33.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
3513
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
578
45.9 IPS |
|
|
Object Detection (HP)
|
100% |
2435
193.2 IPS |
|
|
Object Detection (Q)
|
94% |
291
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
1118
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
7063
83.9 IPS |
|
|
Face Detection (Q)
|
100% |
382
4.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
1939
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23150
178.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
1038
8.11 IPS |
|
|
Style Transfer (SP)
|
100% |
5232
6.73 IPS |
|
|
Style Transfer (HP)
|
100% |
10818
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
4606
5.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1651
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4493
165.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
634
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
458
610.9 IPS |
|
|
Text Classification (Q)
|
93% |
457
613.2 IPS |
|
|
Machine Translation (SP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1044
18.0 IPS |
