iPad15,7
Geekbench AI Score
3431
Single Precision Score
6260
Half Precision Score
5113
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 01:37 PM |
| Views | 5 |
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% |
1316
244.7 IPS |
|
|
Image Classification (HP)
|
100% |
2646
492.0 IPS |
|
|
Image Classification (Q)
|
96% |
1818
339.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2678
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6469
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
15208
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12961
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1470
116.6 IPS |
|
|
Object Detection (HP)
|
97% |
2955
235.3 IPS |
|
|
Object Detection (Q)
|
94% |
2116
168.7 IPS |
|
|
Face Detection (SP)
|
100% |
3194
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6153
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
3525
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5954
45.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11784
91.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8183
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18604
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29174
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24270
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3824
141.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5095
188.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3879
143.2 IPS |
|
|
Text Classification (SP)
|
100% |
2767
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4755
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4742
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3418
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7160
123.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7111
122.9 IPS |
