iPad15,7
Geekbench AI Score
3386
Single Precision Score
6186
Half Precision Score
5067
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 06:28 PM |
| Views | 4 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.3 IPS |
|
|
Image Classification (HP)
|
100% |
2641
491.1 IPS |
|
|
Image Classification (Q)
|
96% |
1816
339.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2668
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6115
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
14467
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12190
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
97% |
2913
231.9 IPS |
|
|
Object Detection (Q)
|
94% |
2097
167.2 IPS |
|
|
Face Detection (SP)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6103
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
3493
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5849
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11673
90.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8131
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17730
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29007
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23996
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3732
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5091
188.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3910
144.4 IPS |
|
|
Text Classification (SP)
|
100% |
2769
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4790
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4865
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3392
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6954
120.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6953
120.2 IPS |
