iPad (9th generation)
Geekbench AI Score
1738
Single Precision Score
3175
Half Precision Score
2612
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 08 2025 06:47 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
785
146.0 IPS |
|
|
Image Classification (HP)
|
100% |
1388
258.0 IPS |
|
|
Image Classification (Q)
|
96% |
985
183.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
823
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1476
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3670
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
6640
7.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
5902
6.92 IPS |
|
|
Object Detection (SP)
|
100% |
750
59.5 IPS |
|
|
Object Detection (HP)
|
97% |
1615
128.6 IPS |
|
|
Object Detection (Q)
|
94% |
1165
92.9 IPS |
|
|
Face Detection (SP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
3245
38.6 IPS |
|
|
Face Detection (Q)
|
100% |
1857
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3188
24.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5979
46.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
4350
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7859
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14302
18.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12274
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2017
74.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2821
104.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2138
78.9 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2186
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2168
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1316
22.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3225
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3222
55.7 IPS |
