iPad (9th generation)
Geekbench AI Score
1699
Single Precision Score
3141
Half Precision Score
2571
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 15 2024 02:04 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% |
786
146.1 IPS |
|
|
Image Classification (HP)
|
100% |
1392
258.8 IPS |
|
|
Image Classification (Q)
|
96% |
986
184.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
805
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1456
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3550
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
6420
7.49 IPS |
|
|
Pose Estimation (Q)
|
95% |
5743
6.73 IPS |
|
|
Object Detection (SP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (HP)
|
97% |
1600
127.4 IPS |
|
|
Object Detection (Q)
|
94% |
1150
91.7 IPS |
|
|
Face Detection (SP)
|
100% |
1602
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
3219
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1824
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3122
24.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
5921
45.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4319
33.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7545
9.70 IPS |
|
|
Style Transfer (HP)
|
100% |
14105
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
12140
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1972
72.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2693
99.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2103
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1296
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2157
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3190
55.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3074
53.1 IPS |
