iPad15,7
Geekbench AI Score
3434
Single Precision Score
6249
Half Precision Score
5105
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 03:20 AM |
| Views | 3 |
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% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
2660
494.7 IPS |
|
|
Image Classification (Q)
|
96% |
1827
341.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2677
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6244
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
14827
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12680
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1470
116.6 IPS |
|
|
Object Detection (HP)
|
97% |
2942
234.2 IPS |
|
|
Object Detection (Q)
|
94% |
2101
167.5 IPS |
|
|
Face Detection (SP)
|
100% |
3281
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6096
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
3510
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5977
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11718
90.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8164
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18333
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29186
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24272
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3827
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5142
189.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3928
145.0 IPS |
|
|
Text Classification (SP)
|
100% |
2771
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4872
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4830
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3428
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6995
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6999
120.9 IPS |
