iPad (9th generation)
Geekbench AI Score
1181
Single Precision Score
3460
Half Precision Score
707
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 02:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
570
106.0 IPS |
|
|
Image Classification (HP)
|
100% |
2608
485.1 IPS |
|
|
Image Classification (Q)
|
97% |
275
51.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
364
5.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
416
6.74 IPS |
|
|
Image Segmentation (Q)
|
99% |
281
4.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
3140
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
28712
33.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
3221
3.77 IPS |
|
|
Object Detection (SP)
|
100% |
600
47.6 IPS |
|
|
Object Detection (HP)
|
100% |
2391
189.7 IPS |
|
|
Object Detection (Q)
|
94% |
275
21.9 IPS |
|
|
Face Detection (SP)
|
100% |
1152
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
7331
87.1 IPS |
|
|
Face Detection (Q)
|
100% |
371
4.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
1943
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23748
183.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
1007
7.87 IPS |
|
|
Style Transfer (SP)
|
100% |
5309
6.83 IPS |
|
|
Style Transfer (HP)
|
100% |
10666
13.7 IPS |
|
|
Style Transfer (Q)
|
96% |
4432
5.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3821
141.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
600
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
466
622.3 IPS |
|
|
Text Classification (Q)
|
93% |
462
620.7 IPS |
|
|
Machine Translation (SP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1000
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1004
17.3 IPS |
