iPad (9th generation)
Geekbench AI Score
1458
Single Precision Score
2628
Half Precision Score
2126
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 22 2026 09:36 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
796
148.0 IPS |
|
|
Image Classification (HP)
|
100% |
645
119.9 IPS |
|
|
Image Classification (Q)
|
96% |
786
146.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1011
16.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
847
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3065
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
5732
6.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
4995
5.86 IPS |
|
|
Object Detection (SP)
|
100% |
633
50.2 IPS |
|
|
Object Detection (HP)
|
97% |
1360
108.3 IPS |
|
|
Object Detection (Q)
|
94% |
961
76.6 IPS |
|
|
Face Detection (SP)
|
100% |
1320
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
2629
31.2 IPS |
|
|
Face Detection (Q)
|
100% |
1322
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2580
19.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
4732
36.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
3667
28.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5708
7.34 IPS |
|
|
Style Transfer (HP)
|
100% |
13621
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
10733
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1821
67.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2695
99.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2031
75.0 IPS |
|
|
Text Classification (SP)
|
100% |
1248
1.67 KIPS |
|
|
Text Classification (HP)
|
99% |
2404
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2297
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1017
17.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2820
48.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2432
42.0 IPS |
