iPad13,18
Geekbench AI Score
2629
Single Precision Score
2999
Half Precision Score
2803
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 10:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad13,18 |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1125
209.2 IPS |
|
|
Image Classification (HP)
|
100% |
1083
201.4 IPS |
|
|
Image Classification (Q)
|
96% |
1038
193.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1725
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1731
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6138
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
8601
10.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
7744
9.08 IPS |
|
|
Object Detection (SP)
|
100% |
1253
99.4 IPS |
|
|
Object Detection (HP)
|
100% |
1249
99.0 IPS |
|
|
Object Detection (Q)
|
92% |
1138
90.8 IPS |
|
|
Face Detection (SP)
|
100% |
3253
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
3879
46.1 IPS |
|
|
Face Detection (Q)
|
100% |
3265
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4858
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5659
43.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
5283
41.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13206
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13785
17.7 IPS |
|
|
Style Transfer (Q)
|
96% |
13308
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2846
105.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2987
110.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2661
98.3 IPS |
|
|
Text Classification (SP)
|
100% |
2077
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3675
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3588
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
862
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
864
14.9 IPS |
