iPad (9th generation)
Geekbench AI Score
1622
Single Precision Score
3043
Half Precision Score
2503
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 05 2024 09:39 AM |
| 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% |
761
141.5 IPS |
|
|
Image Classification (HP)
|
100% |
1351
251.2 IPS |
|
|
Image Classification (Q)
|
96% |
962
179.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
739
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1209
19.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1351
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3347
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
6169
7.20 IPS |
|
|
Pose Estimation (Q)
|
95% |
5510
6.46 IPS |
|
|
Object Detection (SP)
|
100% |
693
55.0 IPS |
|
|
Object Detection (HP)
|
97% |
1558
124.0 IPS |
|
|
Object Detection (Q)
|
94% |
1141
91.0 IPS |
|
|
Face Detection (SP)
|
100% |
1529
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (Q)
|
100% |
1736
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3016
23.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5842
45.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
4260
33.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7202
9.26 IPS |
|
|
Style Transfer (HP)
|
100% |
13957
17.9 IPS |
|
|
Style Transfer (Q)
|
96% |
12212
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1907
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2748
101.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2100
77.5 IPS |
|
|
Text Classification (SP)
|
100% |
1310
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2194
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2191
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1169
20.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2916
50.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2848
49.2 IPS |
