iPad (9th generation)
Geekbench AI Score
1684
Single Precision Score
3122
Half Precision Score
2566
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 21 2024 12:29 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% |
769
143.0 IPS |
|
|
Image Classification (HP)
|
100% |
1382
257.1 IPS |
|
|
Image Classification (Q)
|
96% |
983
183.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
793
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1259
20.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1454
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3481
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
6382
7.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
5679
6.66 IPS |
|
|
Object Detection (SP)
|
100% |
723
57.4 IPS |
|
|
Object Detection (HP)
|
97% |
1599
127.3 IPS |
|
|
Object Detection (Q)
|
94% |
1142
91.1 IPS |
|
|
Face Detection (SP)
|
100% |
1563
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
3171
37.7 IPS |
|
|
Face Detection (Q)
|
100% |
1802
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3077
23.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5863
45.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4279
33.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7546
9.70 IPS |
|
|
Style Transfer (HP)
|
100% |
14029
18.0 IPS |
|
|
Style Transfer (Q)
|
96% |
12056
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1944
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2743
101.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2108
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
1302
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2168
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2159
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3197
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3166
54.7 IPS |
