iPad (9th generation)
Geekbench AI Score
1671
Single Precision Score
3152
Half Precision Score
2574
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 19 2024 01:31 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% |
781
145.2 IPS |
|
|
Image Classification (HP)
|
100% |
1392
258.9 IPS |
|
|
Image Classification (Q)
|
96% |
986
184.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
803
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1432
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3501
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
6346
7.41 IPS |
|
|
Pose Estimation (Q)
|
95% |
5678
6.66 IPS |
|
|
Object Detection (SP)
|
100% |
726
57.6 IPS |
|
|
Object Detection (HP)
|
97% |
1589
126.5 IPS |
|
|
Object Detection (Q)
|
94% |
1158
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
1476
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
3202
38.0 IPS |
|
|
Face Detection (Q)
|
100% |
1780
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2946
22.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5883
45.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4284
33.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7055
9.07 IPS |
|
|
Style Transfer (HP)
|
100% |
14112
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
12211
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2061
76.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2830
104.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2138
78.9 IPS |
|
|
Text Classification (SP)
|
100% |
1318
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2236
2.99 KIPS |
|
|
Text Classification (Q)
|
93% |
2183
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1282
22.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3238
55.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3172
54.8 IPS |
