iPad (9th generation)
Geekbench AI Score
1192
Single Precision Score
3459
Half Precision Score
747
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | rothomp3 |
| Upload Date | August 20 2025 02:04 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
533
99.1 IPS |
|
|
Image Classification (HP)
|
100% |
2620
487.2 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
435
7.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
450
7.30 IPS |
|
|
Image Segmentation (Q)
|
99% |
357
5.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
3378
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
29284
34.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
3473
4.07 IPS |
|
|
Object Detection (SP)
|
100% |
545
43.3 IPS |
|
|
Object Detection (HP)
|
100% |
2370
188.0 IPS |
|
|
Object Detection (Q)
|
94% |
277
22.1 IPS |
|
|
Face Detection (SP)
|
100% |
1145
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
7201
85.6 IPS |
|
|
Face Detection (Q)
|
100% |
422
5.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
2000
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23410
180.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
1068
8.34 IPS |
|
|
Style Transfer (SP)
|
100% |
5732
7.37 IPS |
|
|
Style Transfer (HP)
|
100% |
10399
13.4 IPS |
|
|
Style Transfer (Q)
|
96% |
4598
5.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1664
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3806
140.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
613
22.6 IPS |
|
|
Text Classification (SP)
|
100% |
768
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
442
590.5 IPS |
|
|
Text Classification (Q)
|
93% |
438
587.8 IPS |
|
|
Machine Translation (SP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1019
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1028
17.8 IPS |
