iPad (9th generation)
Geekbench AI Score
1726
Single Precision Score
3166
Half Precision Score
2600
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | FreddySoliz09 |
| Upload Date | November 12 2024 10:52 AM |
| Views | 12 |
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% |
790
147.0 IPS |
|
|
Image Classification (HP)
|
100% |
1392
258.9 IPS |
|
|
Image Classification (Q)
|
96% |
988
184.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1478
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3648
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
6602
7.70 IPS |
|
|
Pose Estimation (Q)
|
95% |
5814
6.81 IPS |
|
|
Object Detection (SP)
|
100% |
741
58.8 IPS |
|
|
Object Detection (HP)
|
97% |
1618
128.8 IPS |
|
|
Object Detection (Q)
|
94% |
1164
92.8 IPS |
|
|
Face Detection (SP)
|
100% |
1623
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3225
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1854
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3161
24.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5969
46.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
4356
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7713
9.92 IPS |
|
|
Style Transfer (HP)
|
100% |
14149
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12209
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1992
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2774
102.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2105
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2166
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2152
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1322
22.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3250
56.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3200
55.3 IPS |
