iPad13,18
Geekbench AI Score
2654
Single Precision Score
3055
Half Precision Score
2854
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KenTang |
| Upload Date | October 16 2025 08:44 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1102
205.0 IPS |
|
|
Image Classification (HP)
|
100% |
1123
208.8 IPS |
|
|
Image Classification (Q)
|
96% |
1060
197.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1739
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6126
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
8360
9.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
7739
9.07 IPS |
|
|
Object Detection (SP)
|
100% |
1230
97.6 IPS |
|
|
Object Detection (HP)
|
100% |
1230
97.5 IPS |
|
|
Object Detection (Q)
|
92% |
1145
91.4 IPS |
|
|
Face Detection (SP)
|
100% |
3327
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3911
46.5 IPS |
|
|
Face Detection (Q)
|
100% |
3214
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4739
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5781
44.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
5369
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13266
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13887
17.9 IPS |
|
|
Style Transfer (Q)
|
96% |
13357
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2811
103.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3041
112.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2694
99.5 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
4031
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4009
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
877
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
883
15.3 IPS |
