iPad (9th generation)
Geekbench AI Score
1720
Single Precision Score
3149
Half Precision Score
2606
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | FreddySoliz09 |
| Upload Date | November 09 2024 11:25 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
785
146.1 IPS |
|
|
Image Classification (HP)
|
100% |
1390
258.5 IPS |
|
|
Image Classification (Q)
|
96% |
987
184.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
819
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1472
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3599
4.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
6496
7.58 IPS |
|
|
Pose Estimation (Q)
|
95% |
5777
6.77 IPS |
|
|
Object Detection (SP)
|
100% |
748
59.3 IPS |
|
|
Object Detection (HP)
|
97% |
1608
128.0 IPS |
|
|
Object Detection (Q)
|
94% |
1162
92.7 IPS |
|
|
Face Detection (SP)
|
100% |
1628
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3232
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
1850
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3155
24.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5969
46.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
4344
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7624
9.80 IPS |
|
|
Style Transfer (HP)
|
100% |
14297
18.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12227
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2004
74.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2708
100.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2105
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
1308
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2167
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2216
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3218
55.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3233
55.9 IPS |
