iPad (9th generation)
Geekbench AI Score
1180
Single Precision Score
3482
Half Precision Score
739
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Bxckam1422 |
| Upload Date | March 27 2025 08:32 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
551
102.4 IPS |
|
|
Image Classification (HP)
|
100% |
2731
507.9 IPS |
|
|
Image Classification (Q)
|
97% |
267
49.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
409
6.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
466
7.55 IPS |
|
|
Image Segmentation (Q)
|
99% |
335
5.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
3147
3.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
28764
33.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
3276
3.84 IPS |
|
|
Object Detection (SP)
|
100% |
565
44.8 IPS |
|
|
Object Detection (HP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (Q)
|
94% |
290
23.1 IPS |
|
|
Face Detection (SP)
|
100% |
1151
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
6983
83.0 IPS |
|
|
Face Detection (Q)
|
100% |
394
4.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
1982
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23424
180.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
1084
8.47 IPS |
|
|
Style Transfer (SP)
|
100% |
5405
6.95 IPS |
|
|
Style Transfer (HP)
|
100% |
10955
14.1 IPS |
|
|
Style Transfer (Q)
|
96% |
4610
5.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1680
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4370
161.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
639
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
746
995.4 IPS |
|
|
Text Classification (HP)
|
100% |
459
612.2 IPS |
|
|
Text Classification (Q)
|
93% |
457
613.1 IPS |
|
|
Machine Translation (SP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
997
17.2 IPS |
