iPad (9th generation)
Geekbench AI Score
1196
Single Precision Score
3579
Half Precision Score
744
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2024 11:51 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% |
545
101.4 IPS |
|
|
Image Classification (HP)
|
100% |
2673
497.1 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
429
6.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
485
7.86 IPS |
|
|
Image Segmentation (Q)
|
99% |
310
5.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
3284
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
29230
34.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3562
4.17 IPS |
|
|
Object Detection (SP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
2407
190.9 IPS |
|
|
Object Detection (Q)
|
94% |
291
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
1154
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
7018
83.4 IPS |
|
|
Face Detection (Q)
|
100% |
386
4.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1959
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23343
179.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
1072
8.37 IPS |
|
|
Style Transfer (SP)
|
100% |
5453
7.01 IPS |
|
|
Style Transfer (HP)
|
100% |
10747
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
4650
6.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1689
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4444
164.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
630
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
768
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
463
618.0 IPS |
|
|
Text Classification (Q)
|
93% |
459
616.3 IPS |
|
|
Machine Translation (SP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1057
18.3 IPS |
