iPad15,7
Geekbench AI Score
3409
Single Precision Score
6257
Half Precision Score
5100
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 11:12 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1337
248.6 IPS |
|
|
Image Classification (HP)
|
100% |
2618
486.8 IPS |
|
|
Image Classification (Q)
|
96% |
1814
338.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2672
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6322
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
14979
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12600
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1469
116.5 IPS |
|
|
Object Detection (HP)
|
97% |
2950
234.8 IPS |
|
|
Object Detection (Q)
|
94% |
2114
168.5 IPS |
|
|
Face Detection (SP)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6143
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
3512
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5990
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11757
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8166
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18200
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29185
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24281
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3794
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5107
188.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3923
144.9 IPS |
|
|
Text Classification (SP)
|
100% |
2773
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4908
6.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4754
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3412
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7108
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7109
122.8 IPS |
