iPad (9th generation)
Geekbench AI Score
1714
Single Precision Score
3138
Half Precision Score
2598
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 28 2024 10:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
789
146.7 IPS |
|
|
Image Classification (HP)
|
100% |
1388
258.2 IPS |
|
|
Image Classification (Q)
|
96% |
990
184.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
811
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1268
20.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1476
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3569
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
6476
7.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
5813
6.81 IPS |
|
|
Object Detection (SP)
|
100% |
749
59.4 IPS |
|
|
Object Detection (HP)
|
97% |
1607
128.0 IPS |
|
|
Object Detection (Q)
|
94% |
1159
92.4 IPS |
|
|
Face Detection (SP)
|
100% |
1630
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3222
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1830
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3142
24.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5930
45.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4340
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7255
9.33 IPS |
|
|
Style Transfer (HP)
|
100% |
13965
18.0 IPS |
|
|
Style Transfer (Q)
|
96% |
12221
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2039
75.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2691
99.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2102
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1301
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2173
2.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2211
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3240
56.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3156
54.5 IPS |
