iPad (9th generation)
Geekbench AI Score
926
Single Precision Score
1162
Half Precision Score
490
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | UvarovAndrey |
| Upload Date | December 27 2024 07:31 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% |
293
54.5 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.2 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
339
5.49 IPS |
|
|
Image Segmentation (Q)
|
99% |
346
5.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
2370
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3193
3.73 IPS |
|
|
Pose Estimation (Q)
|
95% |
1233
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (HP)
|
100% |
677
53.7 IPS |
|
|
Object Detection (Q)
|
94% |
299
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2534
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3342
39.7 IPS |
|
|
Face Detection (Q)
|
100% |
377
4.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
2518
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3504
27.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
1020
7.96 IPS |
|
|
Style Transfer (SP)
|
100% |
6142
7.90 IPS |
|
|
Style Transfer (HP)
|
100% |
8581
11.0 IPS |
|
|
Style Transfer (Q)
|
96% |
2082
2.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1215
44.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1395
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
461
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
235
313.7 IPS |
|
|
Text Classification (HP)
|
100% |
411
548.1 IPS |
|
|
Text Classification (Q)
|
93% |
408
548.1 IPS |
|
|
Machine Translation (SP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (HP)
|
100% |
290
4.99 IPS |
|
|
Machine Translation (Q)
|
98% |
175
3.02 IPS |
