iPad (9th generation)
Geekbench AI Score
1730
Single Precision Score
3154
Half Precision Score
2599
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | FreddySoliz09 |
| Upload Date | November 09 2024 11:36 AM |
| Views | 8 |
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% |
789
146.7 IPS |
|
|
Image Classification (HP)
|
100% |
1394
259.2 IPS |
|
|
Image Classification (Q)
|
96% |
990
184.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
814
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1477
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3650
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
6538
7.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
5857
6.87 IPS |
|
|
Object Detection (SP)
|
100% |
754
59.8 IPS |
|
|
Object Detection (HP)
|
97% |
1619
128.9 IPS |
|
|
Object Detection (Q)
|
94% |
1161
92.6 IPS |
|
|
Face Detection (SP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
3225
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1855
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3161
24.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5945
46.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
4347
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7685
9.88 IPS |
|
|
Style Transfer (HP)
|
100% |
14128
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12227
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1998
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2728
100.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2105
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2158
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2138
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1318
22.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3223
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3190
55.1 IPS |
