iPad (9th generation)
Geekbench AI Score
1739
Single Precision Score
3189
Half Precision Score
2614
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | agame7 |
| Upload Date | January 27 2025 04:42 AM |
| Views | 5 |
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% |
779
144.8 IPS |
|
|
Image Classification (HP)
|
100% |
1380
256.6 IPS |
|
|
Image Classification (Q)
|
96% |
984
183.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
818
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1286
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1464
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3665
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
6615
7.72 IPS |
|
|
Pose Estimation (Q)
|
95% |
5887
6.90 IPS |
|
|
Object Detection (SP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (HP)
|
97% |
1606
127.9 IPS |
|
|
Object Detection (Q)
|
94% |
1161
92.6 IPS |
|
|
Face Detection (SP)
|
100% |
1639
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
3250
38.6 IPS |
|
|
Face Detection (Q)
|
100% |
1852
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3193
24.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5955
46.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
4358
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7913
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14568
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12406
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2054
75.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2821
104.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2125
78.5 IPS |
|
|
Text Classification (SP)
|
100% |
1317
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (Q)
|
93% |
2212
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3267
56.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3215
55.6 IPS |
