iPad (9th generation)
Geekbench AI Score
1160
Single Precision Score
3565
Half Precision Score
726
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 29 2024 12:22 PM |
| Views | 3 |
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% |
540
100.5 IPS |
|
|
Image Classification (HP)
|
100% |
2778
516.7 IPS |
|
|
Image Classification (Q)
|
97% |
275
51.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
423
6.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
477
7.73 IPS |
|
|
Image Segmentation (Q)
|
99% |
298
4.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
3150
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
28887
33.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
3475
4.07 IPS |
|
|
Object Detection (SP)
|
100% |
567
45.0 IPS |
|
|
Object Detection (HP)
|
100% |
2448
194.2 IPS |
|
|
Object Detection (Q)
|
94% |
288
23.0 IPS |
|
|
Face Detection (SP)
|
100% |
1105
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
7000
83.2 IPS |
|
|
Face Detection (Q)
|
100% |
376
4.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
1872
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23503
181.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1022
7.98 IPS |
|
|
Style Transfer (SP)
|
100% |
5128
6.59 IPS |
|
|
Style Transfer (HP)
|
100% |
10718
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
4481
5.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1629
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4331
159.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
625
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
455
607.6 IPS |
|
|
Text Classification (Q)
|
93% |
455
611.2 IPS |
|
|
Machine Translation (SP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1020
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1020
17.6 IPS |
