iPad15,7
Geekbench AI Score
3420
Single Precision Score
6240
Half Precision Score
5068
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2025 02:49 AM |
| Views | 4 |
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% |
1364
253.7 IPS |
|
|
Image Classification (HP)
|
100% |
2633
489.6 IPS |
|
|
Image Classification (Q)
|
96% |
1812
338.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2666
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6176
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
14684
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12292
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1464
116.1 IPS |
|
|
Object Detection (HP)
|
97% |
2940
234.1 IPS |
|
|
Object Detection (Q)
|
94% |
2099
167.3 IPS |
|
|
Face Detection (SP)
|
100% |
3251
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
6085
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
3489
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5906
45.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11710
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8120
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18016
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29153
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24071
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3817
140.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5156
190.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3919
144.7 IPS |
|
|
Text Classification (SP)
|
100% |
2774
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4746
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4796
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3457
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7371
127.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6997
120.9 IPS |
