iPad (9th generation)
Geekbench AI Score
1650
Single Precision Score
3070
Half Precision Score
2556
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 25 2025 03:08 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
793
147.5 IPS |
|
|
Image Classification (HP)
|
100% |
1373
255.4 IPS |
|
|
Image Classification (Q)
|
96% |
980
183.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1175
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1355
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3522
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
6478
7.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
5774
6.77 IPS |
|
|
Object Detection (SP)
|
100% |
717
56.9 IPS |
|
|
Object Detection (HP)
|
97% |
1576
125.5 IPS |
|
|
Object Detection (Q)
|
94% |
1149
91.6 IPS |
|
|
Face Detection (SP)
|
100% |
1584
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (Q)
|
100% |
1803
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2979
23.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
5520
42.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4118
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7333
9.43 IPS |
|
|
Style Transfer (HP)
|
100% |
14426
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12347
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1813
66.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2550
94.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2065
76.2 IPS |
|
|
Text Classification (SP)
|
100% |
1305
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2210
2.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2209
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3236
55.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3238
56.0 IPS |
