iPad (9th generation)
Geekbench AI Score
1715
Single Precision Score
3127
Half Precision Score
2592
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 15 2025 01:51 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1396
259.6 IPS |
|
|
Image Classification (Q)
|
96% |
986
184.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
811
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1475
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3561
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
6248
7.29 IPS |
|
|
Pose Estimation (Q)
|
95% |
5751
6.74 IPS |
|
|
Object Detection (SP)
|
100% |
744
59.0 IPS |
|
|
Object Detection (HP)
|
97% |
1603
127.6 IPS |
|
|
Object Detection (Q)
|
94% |
1158
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
1641
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
3221
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1855
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3141
24.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5967
46.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
4340
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7577
9.74 IPS |
|
|
Style Transfer (HP)
|
100% |
14175
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12226
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1985
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2695
99.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2102
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1296
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2154
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2141
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3197
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3201
55.3 IPS |
