iPad (9th generation)
Geekbench AI Score
1576
Single Precision Score
2674
Half Precision Score
2211
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | dr904 |
| Upload Date | July 23 2025 10:22 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
760
141.4 IPS |
|
|
Image Classification (HP)
|
100% |
1146
213.1 IPS |
|
|
Image Classification (Q)
|
96% |
864
161.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
702
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
767
12.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1076
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3614
4.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
6482
7.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
5771
6.76 IPS |
|
|
Object Detection (SP)
|
100% |
681
54.1 IPS |
|
|
Object Detection (HP)
|
97% |
1283
102.2 IPS |
|
|
Object Detection (Q)
|
94% |
996
79.4 IPS |
|
|
Face Detection (SP)
|
100% |
1363
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
2597
30.9 IPS |
|
|
Face Detection (Q)
|
100% |
1066
12.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2386
18.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
4748
36.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
3503
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6645
8.54 IPS |
|
|
Style Transfer (HP)
|
100% |
13516
17.4 IPS |
|
|
Style Transfer (Q)
|
96% |
11565
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2081
76.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2661
98.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2120
78.3 IPS |
|
|
Text Classification (SP)
|
100% |
1412
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2401
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2382
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1135
19.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2406
41.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2400
41.5 IPS |
