iPad15,7
Geekbench AI Score
2934
Single Precision Score
3177
Half Precision Score
2880
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 01:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
557
103.6 IPS |
|
|
Image Classification (HP)
|
100% |
523
97.2 IPS |
|
|
Image Classification (Q)
|
96% |
474
88.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2367
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2405
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2284
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9356
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10350
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9695
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
985
78.1 IPS |
|
|
Object Detection (HP)
|
100% |
898
71.2 IPS |
|
|
Object Detection (Q)
|
92% |
800
63.9 IPS |
|
|
Face Detection (SP)
|
100% |
4946
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
5031
59.8 IPS |
|
|
Face Detection (Q)
|
100% |
3992
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7209
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7722
59.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6177
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17528
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19509
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18954
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2870
106.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2854
105.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2489
91.9 IPS |
|
|
Text Classification (SP)
|
100% |
2796
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
4777
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4761
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
868
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
845
14.6 IPS |
