iPad (9th generation)
Geekbench AI Score
1701
Single Precision Score
3133
Half Precision Score
2573
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 11 2024 10:59 AM |
| 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% |
787
146.4 IPS |
|
|
Image Classification (HP)
|
100% |
1389
258.2 IPS |
|
|
Image Classification (Q)
|
96% |
986
184.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
804
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1280
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1451
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3520
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
6368
7.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
5659
6.63 IPS |
|
|
Object Detection (SP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (HP)
|
97% |
1602
127.5 IPS |
|
|
Object Detection (Q)
|
94% |
1156
92.1 IPS |
|
|
Face Detection (SP)
|
100% |
1573
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
3213
38.2 IPS |
|
|
Face Detection (Q)
|
100% |
1820
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3088
23.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
5929
45.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4301
33.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7582
9.75 IPS |
|
|
Style Transfer (HP)
|
100% |
14012
18.0 IPS |
|
|
Style Transfer (Q)
|
96% |
12166
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1970
72.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2681
99.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2101
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1295
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2155
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2139
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1319
22.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3263
56.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3183
55.0 IPS |
