iPad15,7
Geekbench AI Score
3441
Single Precision Score
6236
Half Precision Score
5076
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 03:20 AM |
| 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1365
253.8 IPS |
|
|
Image Classification (HP)
|
100% |
2653
493.4 IPS |
|
|
Image Classification (Q)
|
96% |
1804
336.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2672
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6314
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
14756
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12559
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1472
116.7 IPS |
|
|
Object Detection (HP)
|
97% |
2941
234.2 IPS |
|
|
Object Detection (Q)
|
94% |
2112
168.4 IPS |
|
|
Face Detection (SP)
|
100% |
3226
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6142
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
3505
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5977
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11743
90.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8132
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18200
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29416
37.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24185
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3817
141.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5074
187.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3889
143.6 IPS |
|
|
Text Classification (SP)
|
100% |
2805
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4813
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4747
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3428
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7029
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6992
120.8 IPS |
