iPad15,7
Geekbench AI Score
3399
Single Precision Score
6223
Half Precision Score
5082
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 07 2025 01:53 AM |
| 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% |
1356
252.2 IPS |
|
|
Image Classification (HP)
|
100% |
2630
489.1 IPS |
|
|
Image Classification (Q)
|
96% |
1812
338.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2668
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6213
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
14600
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12465
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1462
115.9 IPS |
|
|
Object Detection (HP)
|
97% |
2949
234.8 IPS |
|
|
Object Detection (Q)
|
94% |
2109
168.1 IPS |
|
|
Face Detection (SP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6175
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3538
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5882
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11635
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8130
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17905
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28919
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24047
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3829
141.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5161
190.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3936
145.3 IPS |
|
|
Text Classification (SP)
|
100% |
2788
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4795
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4728
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3413
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7086
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7029
121.5 IPS |
