iPad (9th generation)
Geekbench AI Score
919
Single Precision Score
1133
Half Precision Score
501
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Sparrrxw |
| Upload Date | March 20 2025 08:03 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
291
54.2 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.4 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
307
4.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
335
5.42 IPS |
|
|
Image Segmentation (Q)
|
99% |
342
5.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
2368
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3167
3.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
1198
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
681
54.1 IPS |
|
|
Object Detection (HP)
|
100% |
696
55.2 IPS |
|
|
Object Detection (Q)
|
94% |
298
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2531
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3352
39.8 IPS |
|
|
Face Detection (Q)
|
100% |
378
4.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
2522
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3517
27.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1007
7.86 IPS |
|
|
Style Transfer (SP)
|
100% |
6124
7.87 IPS |
|
|
Style Transfer (HP)
|
100% |
8588
11.0 IPS |
|
|
Style Transfer (Q)
|
96% |
2089
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1243
45.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
461
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
233
310.6 IPS |
|
|
Text Classification (HP)
|
100% |
406
541.3 IPS |
|
|
Text Classification (Q)
|
93% |
404
541.7 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (HP)
|
100% |
232
4.00 IPS |
|
|
Machine Translation (Q)
|
98% |
230
3.98 IPS |
