iPad (9th generation)
Geekbench AI Score
1689
Single Precision Score
3101
Half Precision Score
2566
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jfi |
| Upload Date | April 18 2025 08:01 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
807
150.0 IPS |
|
|
Image Classification (HP)
|
100% |
1359
252.7 IPS |
|
|
Image Classification (Q)
|
96% |
978
182.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
783
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1173
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1366
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3658
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
6680
7.79 IPS |
|
|
Pose Estimation (Q)
|
95% |
5839
6.84 IPS |
|
|
Object Detection (SP)
|
100% |
727
57.7 IPS |
|
|
Object Detection (HP)
|
97% |
1580
125.8 IPS |
|
|
Object Detection (Q)
|
94% |
1156
92.1 IPS |
|
|
Face Detection (SP)
|
100% |
1606
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (Q)
|
100% |
1801
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3034
23.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5542
42.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4123
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7641
9.82 IPS |
|
|
Style Transfer (HP)
|
100% |
14588
18.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12464
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1895
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2661
98.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2071
76.5 IPS |
|
|
Text Classification (SP)
|
100% |
1296
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2191
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2182
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3341
57.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3291
56.9 IPS |
