iPad15,7
Geekbench AI Score
3412
Single Precision Score
6242
Half Precision Score
5100
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 25 2025 05:48 PM |
| Views | 5 |
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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
2647
492.2 IPS |
|
|
Image Classification (Q)
|
96% |
1802
336.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2672
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6290
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
14850
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12755
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1462
115.9 IPS |
|
|
Object Detection (HP)
|
97% |
2949
234.8 IPS |
|
|
Object Detection (Q)
|
94% |
2111
168.3 IPS |
|
|
Face Detection (SP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6174
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3535
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5910
45.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11745
90.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8130
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18264
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29166
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24267
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3788
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5101
188.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3903
144.1 IPS |
|
|
Text Classification (SP)
|
100% |
2792
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
4817
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4778
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7082
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7064
122.1 IPS |
