iPad (9th generation)
Geekbench AI Score
1660
Single Precision Score
3131
Half Precision Score
2575
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 15 2024 10:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1395
259.4 IPS |
|
|
Image Classification (Q)
|
96% |
987
184.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1275
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1467
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3552
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
6436
7.51 IPS |
|
|
Pose Estimation (Q)
|
95% |
5735
6.72 IPS |
|
|
Object Detection (SP)
|
100% |
727
57.7 IPS |
|
|
Object Detection (HP)
|
97% |
1603
127.6 IPS |
|
|
Object Detection (Q)
|
94% |
1162
92.6 IPS |
|
|
Face Detection (SP)
|
100% |
1600
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
3206
38.1 IPS |
|
|
Face Detection (Q)
|
100% |
1829
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3111
24.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
5930
45.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4249
33.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5797
7.45 IPS |
|
|
Style Transfer (HP)
|
100% |
13744
17.7 IPS |
|
|
Style Transfer (Q)
|
96% |
11850
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2046
75.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2690
99.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2103
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2194
2.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2182
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3209
55.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3152
54.5 IPS |
