iPad15,7
Geekbench AI Score
3603
Single Precision Score
6277
Half Precision Score
5127
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 08 2025 02:25 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% |
1441
268.0 IPS |
|
|
Image Classification (HP)
|
100% |
2629
488.9 IPS |
|
|
Image Classification (Q)
|
96% |
1820
339.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1467
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2676
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6791
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
15186
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12880
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.1 IPS |
|
|
Object Detection (HP)
|
97% |
2946
234.5 IPS |
|
|
Object Detection (Q)
|
94% |
2119
168.9 IPS |
|
|
Face Detection (SP)
|
100% |
3277
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6188
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
3515
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6168
47.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11782
91.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8162
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18637
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29864
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24735
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4058
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5087
187.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3913
144.5 IPS |
|
|
Text Classification (SP)
|
100% |
2816
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4834
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4756
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3756
64.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7115
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7158
123.7 IPS |
