iPad (9th generation)
Geekbench AI Score
1717
Single Precision Score
3146
Half Precision Score
2592
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 09 2024 08:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
782
145.5 IPS |
|
|
Image Classification (HP)
|
100% |
1406
261.5 IPS |
|
|
Image Classification (Q)
|
96% |
991
185.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1474
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3541
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
6541
7.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
5776
6.77 IPS |
|
|
Object Detection (SP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (HP)
|
97% |
1597
127.2 IPS |
|
|
Object Detection (Q)
|
94% |
1161
92.6 IPS |
|
|
Face Detection (SP)
|
100% |
1633
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
1844
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3152
24.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5926
45.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4340
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7713
9.92 IPS |
|
|
Style Transfer (HP)
|
100% |
14111
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
12196
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1997
73.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2692
99.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2102
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2160
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2149
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3220
55.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3180
55.0 IPS |
