iPad15,7
Geekbench AI Score
3595
Single Precision Score
6279
Half Precision Score
5125
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 10:51 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1439
267.6 IPS |
|
|
Image Classification (HP)
|
100% |
2565
477.1 IPS |
|
|
Image Classification (Q)
|
96% |
1818
339.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2671
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6732
7.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
15112
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12782
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
97% |
2962
235.8 IPS |
|
|
Object Detection (Q)
|
94% |
2116
168.6 IPS |
|
|
Face Detection (SP)
|
100% |
3295
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
6170
73.3 IPS |
|
|
Face Detection (Q)
|
100% |
3518
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6115
47.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11734
90.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8129
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18718
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29892
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24711
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4041
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5211
192.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3920
144.7 IPS |
|
|
Text Classification (SP)
|
100% |
2773
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4751
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4859
6.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3774
65.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7328
126.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7072
122.2 IPS |
