iPad (9th generation)
Geekbench AI Score
903
Single Precision Score
1101
Half Precision Score
492
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 09:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
296
55.1 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.3 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
339
5.50 IPS |
|
|
Image Segmentation (Q)
|
99% |
339
5.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
2306
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
3080
3.59 IPS |
|
|
Pose Estimation (Q)
|
95% |
1244
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
612
48.5 IPS |
|
|
Object Detection (HP)
|
100% |
621
49.3 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2536
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3327
39.5 IPS |
|
|
Face Detection (Q)
|
100% |
374
4.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
2410
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3335
25.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
909
7.10 IPS |
|
|
Style Transfer (SP)
|
100% |
6013
7.73 IPS |
|
|
Style Transfer (HP)
|
100% |
8363
10.8 IPS |
|
|
Style Transfer (Q)
|
96% |
2092
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1217
44.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1307
48.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
462
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
234
311.9 IPS |
|
|
Text Classification (HP)
|
100% |
406
541.5 IPS |
|
|
Text Classification (Q)
|
93% |
403
541.3 IPS |
|
|
Machine Translation (SP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (HP)
|
100% |
231
3.97 IPS |
|
|
Machine Translation (Q)
|
98% |
210
3.62 IPS |
