iPad15,7
Geekbench AI Score
3417
Single Precision Score
6247
Half Precision Score
5115
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 02:54 AM |
| Views | 2 |
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% |
1354
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
2623
487.7 IPS |
|
|
Image Classification (Q)
|
96% |
1810
338.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2677
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6362
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
14996
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12736
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
97% |
2949
234.7 IPS |
|
|
Object Detection (Q)
|
94% |
2113
168.5 IPS |
|
|
Face Detection (SP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6167
73.3 IPS |
|
|
Face Detection (Q)
|
100% |
3512
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5891
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11707
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8143
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18272
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29110
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24253
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3803
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5112
188.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3925
144.9 IPS |
|
|
Text Classification (SP)
|
100% |
2757
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4777
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4876
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7069
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7092
122.6 IPS |
