iPad15,7
Geekbench AI Score
3581
Single Precision Score
6249
Half Precision Score
5096
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 02 2025 02:24 AM |
| Views | 2 |
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% |
1442
268.2 IPS |
|
|
Image Classification (HP)
|
100% |
2628
488.7 IPS |
|
|
Image Classification (Q)
|
96% |
1812
338.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2674
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6593
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
15030
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12633
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
2945
234.5 IPS |
|
|
Object Detection (Q)
|
94% |
2101
167.4 IPS |
|
|
Face Detection (SP)
|
100% |
3336
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
6158
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
3527
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6122
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11700
90.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8136
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18319
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29837
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24569
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4026
148.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5103
188.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3900
144.0 IPS |
|
|
Text Classification (SP)
|
100% |
2817
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4790
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4774
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3707
63.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7017
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7005
121.1 IPS |
