iPad (9th generation)
Geekbench AI Score
915
Single Precision Score
1128
Half Precision Score
505
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 15 2025 01:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
288
53.6 IPS |
|
|
Image Classification (HP)
|
100% |
373
69.3 IPS |
|
|
Image Classification (Q)
|
97% |
242
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.61 IPS |
|
|
Image Segmentation (Q)
|
99% |
344
5.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
2370
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3209
3.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
1227
1.44 IPS |
|
|
Object Detection (SP)
|
100% |
669
53.1 IPS |
|
|
Object Detection (HP)
|
100% |
650
51.6 IPS |
|
|
Object Detection (Q)
|
94% |
299
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
2533
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3344
39.7 IPS |
|
|
Face Detection (Q)
|
100% |
383
4.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
2503
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3456
26.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
1032
8.05 IPS |
|
|
Style Transfer (SP)
|
100% |
6169
7.93 IPS |
|
|
Style Transfer (HP)
|
100% |
8605
11.1 IPS |
|
|
Style Transfer (Q)
|
96% |
2083
2.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1231
45.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1357
50.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
460
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
231
308.2 IPS |
|
|
Text Classification (HP)
|
100% |
410
546.8 IPS |
|
|
Text Classification (Q)
|
93% |
407
545.6 IPS |
|
|
Machine Translation (SP)
|
100% |
259
4.47 IPS |
|
|
Machine Translation (HP)
|
100% |
224
3.86 IPS |
|
|
Machine Translation (Q)
|
98% |
233
4.03 IPS |
