iPad (9th generation)
Geekbench AI Score
1181
Single Precision Score
3577
Half Precision Score
738
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Sparrrxw |
| Upload Date | March 20 2025 08:10 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
548
101.9 IPS |
|
|
Image Classification (HP)
|
100% |
2722
506.2 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
483
7.84 IPS |
|
|
Image Segmentation (Q)
|
99% |
300
4.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
3072
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
29175
34.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
3551
4.16 IPS |
|
|
Object Detection (SP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (HP)
|
100% |
2438
193.4 IPS |
|
|
Object Detection (Q)
|
94% |
292
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
1133
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
6954
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
381
4.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
1966
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23763
183.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1076
8.40 IPS |
|
|
Style Transfer (SP)
|
100% |
5406
6.95 IPS |
|
|
Style Transfer (HP)
|
100% |
10655
13.7 IPS |
|
|
Style Transfer (Q)
|
96% |
4593
5.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1602
59.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4327
159.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
630
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
776
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
460
614.3 IPS |
|
|
Text Classification (Q)
|
93% |
460
617.9 IPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1048
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1033
17.9 IPS |
