iPad15,7
Geekbench AI Score
3395
Single Precision Score
6237
Half Precision Score
5085
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2025 07:04 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% |
1315
244.5 IPS |
|
|
Image Classification (HP)
|
100% |
2642
491.2 IPS |
|
|
Image Classification (Q)
|
96% |
1813
338.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2670
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6251
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
14835
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12495
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1468
116.5 IPS |
|
|
Object Detection (HP)
|
97% |
2951
234.9 IPS |
|
|
Object Detection (Q)
|
94% |
2104
167.7 IPS |
|
|
Face Detection (SP)
|
100% |
3180
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6156
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
3519
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5866
45.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11695
90.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8114
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17882
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29049
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24181
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3759
138.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5176
191.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3894
143.8 IPS |
|
|
Text Classification (SP)
|
100% |
2795
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
4815
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4782
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3428
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7012
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7069
122.2 IPS |
