iPad (9th generation)
Geekbench AI Score
1690
Single Precision Score
3109
Half Precision Score
2530
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 04:46 AM |
| Views | 1 |
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% |
787
146.3 IPS |
|
|
Image Classification (HP)
|
100% |
1387
258.0 IPS |
|
|
Image Classification (Q)
|
96% |
938
175.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
799
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1255
20.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1431
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3584
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
6438
7.51 IPS |
|
|
Pose Estimation (Q)
|
95% |
5808
6.81 IPS |
|
|
Object Detection (SP)
|
100% |
738
58.5 IPS |
|
|
Object Detection (HP)
|
97% |
1597
127.2 IPS |
|
|
Object Detection (Q)
|
94% |
1153
91.9 IPS |
|
|
Face Detection (SP)
|
100% |
1625
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1835
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3155
24.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5922
45.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
3791
29.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6487
8.34 IPS |
|
|
Style Transfer (HP)
|
100% |
13477
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11960
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2065
76.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2680
99.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2102
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1301
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2159
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2156
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1280
22.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3178
54.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3178
54.9 IPS |
