iPad15,7
Geekbench AI Score
3420
Single Precision Score
6228
Half Precision Score
5107
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 11:12 PM |
| 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% |
1362
253.3 IPS |
|
|
Image Classification (HP)
|
100% |
2628
488.7 IPS |
|
|
Image Classification (Q)
|
96% |
1817
339.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2674
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6251
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
14827
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12626
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1461
115.9 IPS |
|
|
Object Detection (HP)
|
97% |
2942
234.2 IPS |
|
|
Object Detection (Q)
|
94% |
2111
168.3 IPS |
|
|
Face Detection (SP)
|
100% |
3227
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6139
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
3497
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5963
45.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11756
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8135
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18070
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29102
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24235
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3786
139.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5078
187.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3914
144.5 IPS |
|
|
Text Classification (SP)
|
100% |
2769
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4837
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4904
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3430
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7007
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7052
121.9 IPS |
