iPad (9th generation)
Geekbench AI Score
1677
Single Precision Score
3138
Half Precision Score
2516
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | XweAponX |
| Upload Date | September 23 2024 10:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
791
147.2 IPS |
|
|
Image Classification (HP)
|
100% |
1396
259.7 IPS |
|
|
Image Classification (Q)
|
96% |
992
185.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
834
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1286
20.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1453
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3532
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
6405
7.47 IPS |
|
|
Pose Estimation (Q)
|
95% |
5723
6.71 IPS |
|
|
Object Detection (SP)
|
100% |
727
57.6 IPS |
|
|
Object Detection (HP)
|
97% |
1602
127.5 IPS |
|
|
Object Detection (Q)
|
94% |
1157
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
1624
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3217
38.2 IPS |
|
|
Face Detection (Q)
|
100% |
1814
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3093
23.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
5914
45.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
3415
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6417
8.25 IPS |
|
|
Style Transfer (HP)
|
100% |
13829
17.8 IPS |
|
|
Style Transfer (Q)
|
96% |
11847
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2037
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2745
101.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2102
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1292
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2168
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2179
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1227
21.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3214
55.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3176
54.9 IPS |
