iPad15,7
Geekbench AI Score
3593
Single Precision Score
6271
Half Precision Score
5125
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 20 2025 06:46 PM |
| Views | 5 |
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 | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1457
271.0 IPS |
|
|
Image Classification (HP)
|
100% |
2647
492.3 IPS |
|
|
Image Classification (Q)
|
96% |
1816
339.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2675
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6662
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
14858
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12686
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
97% |
2945
234.5 IPS |
|
|
Object Detection (Q)
|
94% |
2112
168.3 IPS |
|
|
Face Detection (SP)
|
100% |
3286
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6177
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3524
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6176
47.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11765
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8160
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18590
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29908
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24757
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4022
148.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5113
188.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3895
143.8 IPS |
|
|
Text Classification (SP)
|
100% |
2826
3.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4812
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4867
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3722
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7148
123.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7124
123.1 IPS |
