iPad15,7
Geekbench AI Score
3572
Single Precision Score
6226
Half Precision Score
5105
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 01 2025 03:02 AM |
| Views | 6 |
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% |
1458
271.1 IPS |
|
|
Image Classification (HP)
|
100% |
2624
488.0 IPS |
|
|
Image Classification (Q)
|
96% |
1818
339.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1467
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2669
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6553
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
14489
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12441
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.8 IPS |
|
|
Object Detection (HP)
|
97% |
2912
231.8 IPS |
|
|
Object Detection (Q)
|
94% |
2099
167.3 IPS |
|
|
Face Detection (SP)
|
100% |
3311
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
6136
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
3515
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6103
47.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11684
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8140
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18250
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29765
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24515
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3996
147.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5121
189.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3927
145.0 IPS |
|
|
Text Classification (SP)
|
100% |
2817
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4800
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4822
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7134
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7143
123.4 IPS |
