iPad (9th generation)
Geekbench AI Score
1202
Single Precision Score
3577
Half Precision Score
734
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 05:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
550
102.3 IPS |
|
|
Image Classification (HP)
|
100% |
2674
497.4 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
442
7.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
499
8.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
312
5.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
3372
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
28395
33.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3469
4.06 IPS |
|
|
Object Detection (SP)
|
100% |
581
46.1 IPS |
|
|
Object Detection (HP)
|
100% |
2387
189.3 IPS |
|
|
Object Detection (Q)
|
94% |
291
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
1147
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
7059
83.9 IPS |
|
|
Face Detection (Q)
|
100% |
349
4.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
1884
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23166
178.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
1019
7.96 IPS |
|
|
Style Transfer (SP)
|
100% |
5268
6.77 IPS |
|
|
Style Transfer (HP)
|
100% |
10836
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
4707
6.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1743
64.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4330
159.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
632
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
776
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
462
617.3 IPS |
|
|
Text Classification (Q)
|
93% |
460
616.9 IPS |
|
|
Machine Translation (SP)
|
100% |
862
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1071
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1069
18.5 IPS |
