iPad13,17
Geekbench AI Score
983
Single Precision Score
1675
Half Precision Score
1325
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 07:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 1.59 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1260
234.3 IPS |
|
|
Image Classification (HP)
|
100% |
2115
393.4 IPS |
|
|
Image Classification (Q)
|
96% |
1418
264.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
423
6.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
823
13.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
692
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1474
1.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2834
3.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
2537
2.97 IPS |
|
|
Object Detection (SP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (HP)
|
97% |
717
57.1 IPS |
|
|
Object Detection (Q)
|
94% |
517
41.2 IPS |
|
|
Face Detection (SP)
|
100% |
883
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
1443
17.2 IPS |
|
|
Face Detection (Q)
|
100% |
864
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1483
11.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2594
20.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
1883
14.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3481
4.47 IPS |
|
|
Style Transfer (HP)
|
100% |
5904
7.59 IPS |
|
|
Style Transfer (Q)
|
96% |
5083
6.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
961
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1095
40.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
857
31.6 IPS |
|
|
Text Classification (SP)
|
100% |
631
841.9 IPS |
|
|
Text Classification (HP)
|
99% |
1207
1.61 KIPS |
|
|
Text Classification (Q)
|
93% |
1191
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1691
29.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1536
26.5 IPS |
