iPad15,7
Geekbench AI Score
3477
Single Precision Score
21712
Half Precision Score
24979
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 18 2025 11:19 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
9592
1.78 KIPS |
|
|
Image Classification (Q)
|
97% |
11402
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14046
227.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19096
309.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6641
7.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
95097
111.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
102151
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1498
118.8 IPS |
|
|
Object Detection (HP)
|
100% |
12346
979.3 IPS |
|
|
Object Detection (Q)
|
91% |
14194
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3228
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
27526
327.1 IPS |
|
|
Face Detection (Q)
|
100% |
34152
405.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5907
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
72553
559.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
90411
706.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18859
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
169890
218.4 IPS |
|
|
Style Transfer (Q)
|
96% |
171641
221.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3865
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32710
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36070
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2794
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1897
2.53 KIPS |
|
|
Text Classification (Q)
|
93% |
1911
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3417
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6994
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8201
141.7 IPS |
