iPad (9th generation)
Geekbench AI Score
1196
Single Precision Score
3569
Half Precision Score
1436
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 24 2024 10:26 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% |
544
101.2 IPS |
|
|
Image Classification (HP)
|
100% |
2688
499.9 IPS |
|
|
Image Classification (Q)
|
99% |
2701
503.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
439
7.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
494
8.00 IPS |
|
|
Image Segmentation (Q)
|
100% |
493
7.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
3280
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
28366
33.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
3302
3.87 IPS |
|
|
Object Detection (SP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (HP)
|
100% |
2418
191.8 IPS |
|
|
Object Detection (Q)
|
94% |
290
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
1141
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
6988
83.0 IPS |
|
|
Face Detection (Q)
|
100% |
386
4.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
2007
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23793
183.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
23392
180.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5418
6.96 IPS |
|
|
Style Transfer (HP)
|
100% |
10847
13.9 IPS |
|
|
Style Transfer (Q)
|
100% |
10937
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1667
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4329
159.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
623
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
463
618.3 IPS |
|
|
Text Classification (Q)
|
93% |
460
617.2 IPS |
|
|
Machine Translation (SP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1019
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1035
17.9 IPS |
