iPad (9th generation)
Geekbench AI Score
1632
Single Precision Score
3064
Half Precision Score
2494
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | paz_levi |
| Upload Date | August 19 2025 01:09 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
803
149.4 IPS |
|
|
Image Classification (HP)
|
100% |
1363
253.4 IPS |
|
|
Image Classification (Q)
|
96% |
975
182.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
779
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1171
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1360
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3577
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
6586
7.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
5832
6.84 IPS |
|
|
Object Detection (SP)
|
100% |
709
56.2 IPS |
|
|
Object Detection (HP)
|
97% |
1576
125.5 IPS |
|
|
Object Detection (Q)
|
94% |
927
73.9 IPS |
|
|
Face Detection (SP)
|
100% |
1351
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
3080
36.6 IPS |
|
|
Face Detection (Q)
|
100% |
1768
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2859
22.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
5524
42.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4076
31.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7259
9.33 IPS |
|
|
Style Transfer (HP)
|
100% |
14344
18.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12463
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1954
72.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2542
93.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2056
75.9 IPS |
|
|
Text Classification (SP)
|
100% |
1291
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2211
2.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2202
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3219
55.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3202
55.3 IPS |
