iPad (9th generation)
Geekbench AI Score
1703
Single Precision Score
3113
Half Precision Score
2574
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 23 2024 01:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
777
144.6 IPS |
|
|
Image Classification (HP)
|
100% |
1392
258.8 IPS |
|
|
Image Classification (Q)
|
96% |
990
184.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
807
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1457
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3558
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
6236
7.28 IPS |
|
|
Pose Estimation (Q)
|
95% |
5697
6.68 IPS |
|
|
Object Detection (SP)
|
100% |
727
57.7 IPS |
|
|
Object Detection (HP)
|
97% |
1597
127.1 IPS |
|
|
Object Detection (Q)
|
94% |
1160
92.5 IPS |
|
|
Face Detection (SP)
|
100% |
1605
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3202
38.0 IPS |
|
|
Face Detection (Q)
|
100% |
1793
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3103
23.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5923
45.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4327
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7562
9.72 IPS |
|
|
Style Transfer (HP)
|
100% |
14165
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12263
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1976
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2770
102.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2103
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1300
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2175
2.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2155
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1310
22.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2981
51.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3111
53.8 IPS |
