iPad (9th generation)
Geekbench AI Score
1718
Single Precision Score
3169
Half Precision Score
2602
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 29 2024 05:11 AM |
| Views | 1 |
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% |
985
184.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1478
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3616
4.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
6530
7.62 IPS |
|
|
Pose Estimation (Q)
|
95% |
5856
6.86 IPS |
|
|
Object Detection (SP)
|
100% |
736
58.4 IPS |
|
|
Object Detection (HP)
|
97% |
1618
128.8 IPS |
|
|
Object Detection (Q)
|
94% |
1168
93.1 IPS |
|
|
Face Detection (SP)
|
100% |
1638
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
1859
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3158
24.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5974
46.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
4348
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7634
9.81 IPS |
|
|
Style Transfer (HP)
|
100% |
14510
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12225
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1978
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2703
99.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2109
77.9 IPS |
|
|
Text Classification (SP)
|
100% |
1311
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2172
2.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2153
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1288
22.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3280
56.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3192
55.2 IPS |
