iPad (9th generation)
Geekbench AI Score
1623
Single Precision Score
3036
Half Precision Score
2507
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 30 2024 11:13 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% |
755
140.4 IPS |
|
|
Image Classification (HP)
|
100% |
1341
249.4 IPS |
|
|
Image Classification (Q)
|
96% |
964
180.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1220
19.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1432
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3457
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
6392
7.46 IPS |
|
|
Pose Estimation (Q)
|
95% |
5706
6.69 IPS |
|
|
Object Detection (SP)
|
100% |
708
56.1 IPS |
|
|
Object Detection (HP)
|
97% |
1561
124.3 IPS |
|
|
Object Detection (Q)
|
94% |
1136
90.6 IPS |
|
|
Face Detection (SP)
|
100% |
1516
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
3035
36.1 IPS |
|
|
Face Detection (Q)
|
100% |
1751
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3066
23.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5819
45.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
4188
32.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6738
8.66 IPS |
|
|
Style Transfer (HP)
|
100% |
13861
17.8 IPS |
|
|
Style Transfer (Q)
|
96% |
11845
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1985
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2694
99.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2066
76.3 IPS |
|
|
Text Classification (SP)
|
100% |
1262
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2150
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2167
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2881
49.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2823
48.8 IPS |
