iPad15,7
Geekbench AI Score
3342
Single Precision Score
6121
Half Precision Score
4993
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 01 2025 05:36 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1346
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
2618
486.9 IPS |
|
|
Image Classification (Q)
|
96% |
1811
338.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2650
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5994
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
14260
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12123
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1444
114.5 IPS |
|
|
Object Detection (HP)
|
97% |
2914
232.0 IPS |
|
|
Object Detection (Q)
|
94% |
2089
166.5 IPS |
|
|
Face Detection (SP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6102
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
3469
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5743
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11649
90.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8085
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17602
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28682
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23847
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3680
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5102
188.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3882
143.3 IPS |
|
|
Text Classification (SP)
|
100% |
2702
3.61 KIPS |
|
|
Text Classification (HP)
|
99% |
4509
6.02 KIPS |
|
|
Text Classification (Q)
|
93% |
4410
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3374
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6903
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6925
119.7 IPS |
