iPad (9th generation)
Geekbench AI Score
923
Single Precision Score
1122
Half Precision Score
505
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jcpenni |
| Upload Date | October 24 2025 02:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
293
54.4 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.7 IPS |
|
|
Image Classification (Q)
|
97% |
243
45.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
319
5.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
355
5.76 IPS |
|
|
Image Segmentation (Q)
|
99% |
339
5.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
2212
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2913
3.40 IPS |
|
|
Pose Estimation (Q)
|
95% |
1223
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
626
49.6 IPS |
|
|
Object Detection (HP)
|
100% |
631
50.1 IPS |
|
|
Object Detection (Q)
|
94% |
300
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
2577
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
3309
39.3 IPS |
|
|
Face Detection (Q)
|
100% |
378
4.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
2520
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3477
26.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
991
7.74 IPS |
|
|
Style Transfer (SP)
|
100% |
6150
7.91 IPS |
|
|
Style Transfer (HP)
|
100% |
8652
11.1 IPS |
|
|
Style Transfer (Q)
|
96% |
2107
2.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1143
42.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1296
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
462
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
228
304.4 IPS |
|
|
Text Classification (HP)
|
100% |
397
529.7 IPS |
|
|
Text Classification (Q)
|
93% |
394
528.7 IPS |
|
|
Machine Translation (SP)
|
100% |
335
5.77 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (Q)
|
98% |
253
4.38 IPS |
