iPad (9th generation)
Geekbench AI Score
914
Single Precision Score
1125
Half Precision Score
502
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 02:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
289
53.7 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.2 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
345
5.60 IPS |
|
|
Image Segmentation (Q)
|
99% |
343
5.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2370
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3207
3.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
1251
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (HP)
|
100% |
653
51.8 IPS |
|
|
Object Detection (Q)
|
94% |
299
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2542
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
3426
40.7 IPS |
|
|
Face Detection (Q)
|
100% |
386
4.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
2523
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3522
27.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1034
8.07 IPS |
|
|
Style Transfer (SP)
|
100% |
6162
7.92 IPS |
|
|
Style Transfer (HP)
|
100% |
8599
11.1 IPS |
|
|
Style Transfer (Q)
|
96% |
2052
2.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1203
44.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
461
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
228
304.1 IPS |
|
|
Text Classification (HP)
|
100% |
404
539.1 IPS |
|
|
Text Classification (Q)
|
93% |
403
540.7 IPS |
|
|
Machine Translation (SP)
|
100% |
271
4.66 IPS |
|
|
Machine Translation (HP)
|
100% |
217
3.74 IPS |
|
|
Machine Translation (Q)
|
98% |
217
3.75 IPS |
