iPad13,19
Geekbench AI Score
2605
Single Precision Score
3004
Half Precision Score
2800
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 11:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad13,19 |
| Model ID | iPad13,19 |
| Motherboard | J272AP |
| 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% |
1135
211.0 IPS |
|
|
Image Classification (HP)
|
100% |
1118
208.0 IPS |
|
|
Image Classification (Q)
|
96% |
1033
192.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1719
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1782
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1769
28.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6014
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
8226
9.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
7486
8.78 IPS |
|
|
Object Detection (SP)
|
100% |
1227
97.3 IPS |
|
|
Object Detection (HP)
|
100% |
1246
98.8 IPS |
|
|
Object Detection (Q)
|
92% |
1154
92.1 IPS |
|
|
Face Detection (SP)
|
100% |
3291
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
3915
46.5 IPS |
|
|
Face Detection (Q)
|
100% |
3181
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4533
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5695
43.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
5267
41.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13122
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13769
17.7 IPS |
|
|
Style Transfer (Q)
|
96% |
13385
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2814
103.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2952
109.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2531
93.4 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3974
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4021
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
816
14.1 IPS |
|
|
Machine Translation (Q)
|
98% |
824
14.2 IPS |
