iPad (9th generation)
Geekbench AI Score
1156
Single Precision Score
3534
Half Precision Score
723
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2024 11:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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
100.2 IPS |
|
|
Image Classification (HP)
|
100% |
2724
506.5 IPS |
|
|
Image Classification (Q)
|
97% |
270
50.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
420
6.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
478
7.75 IPS |
|
|
Image Segmentation (Q)
|
99% |
295
4.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
3033
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
28041
32.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
3338
3.91 IPS |
|
|
Object Detection (SP)
|
100% |
565
44.9 IPS |
|
|
Object Detection (HP)
|
100% |
2447
194.1 IPS |
|
|
Object Detection (Q)
|
94% |
288
22.9 IPS |
|
|
Face Detection (SP)
|
100% |
1090
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
7017
83.4 IPS |
|
|
Face Detection (Q)
|
100% |
376
4.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
1858
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22144
170.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
1047
8.18 IPS |
|
|
Style Transfer (SP)
|
100% |
5082
6.53 IPS |
|
|
Style Transfer (HP)
|
100% |
10559
13.6 IPS |
|
|
Style Transfer (Q)
|
96% |
4523
5.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1662
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4391
162.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
617
22.8 IPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
455
607.3 IPS |
|
|
Text Classification (Q)
|
93% |
453
607.6 IPS |
|
|
Machine Translation (SP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1037
17.9 IPS |
