iPad (9th generation)
Geekbench AI Score
419
Single Precision Score
797
Half Precision Score
606
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
294
54.7 IPS |
|
|
Image Classification (HP)
|
100% |
425
79.0 IPS |
|
|
Image Classification (Q)
|
96% |
157
29.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
130
2.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
205
3.33 IPS |
|
|
Image Segmentation (Q)
|
99% |
210
3.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
542
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1262
1.47 IPS |
|
|
Pose Estimation (Q)
|
95% |
1220
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
167
13.3 IPS |
|
|
Object Detection (HP)
|
97% |
615
49.0 IPS |
|
|
Object Detection (Q)
|
94% |
314
25.0 IPS |
|
|
Face Detection (SP)
|
100% |
396
4.71 IPS |
|
|
Face Detection (HP)
|
100% |
866
10.3 IPS |
|
|
Face Detection (Q)
|
100% |
481
5.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
424
3.26 IPS |
|
|
Depth Estimation (HP)
|
97% |
1202
9.29 IPS |
|
|
Depth Estimation (Q)
|
86% |
825
6.44 IPS |
|
|
Style Transfer (SP)
|
100% |
1209
1.55 IPS |
|
|
Style Transfer (HP)
|
100% |
2393
3.08 IPS |
|
|
Style Transfer (Q)
|
96% |
2657
3.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1075
39.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
900
33.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
673
24.9 IPS |
|
|
Text Classification (SP)
|
100% |
640
854.9 IPS |
|
|
Text Classification (HP)
|
100% |
613
817.9 IPS |
|
|
Text Classification (Q)
|
93% |
605
811.4 IPS |
|
|
Machine Translation (SP)
|
100% |
350
6.02 IPS |
|
|
Machine Translation (HP)
|
98% |
1114
19.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1237
21.4 IPS |
