iPad15,7
Geekbench AI Score
2952
Single Precision Score
3330
Half Precision Score
3041
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 07:21 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
520
96.7 IPS |
|
|
Image Classification (HP)
|
100% |
853
158.6 IPS |
|
|
Image Classification (Q)
|
96% |
894
166.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2391
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2410
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2267
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9502
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10364
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9736
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1006
79.8 IPS |
|
|
Object Detection (HP)
|
100% |
919
72.9 IPS |
|
|
Object Detection (Q)
|
92% |
844
67.3 IPS |
|
|
Face Detection (SP)
|
100% |
4930
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
4879
58.0 IPS |
|
|
Face Detection (Q)
|
100% |
4005
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7610
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8087
62.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6141
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17549
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19528
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18932
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2872
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2779
102.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2436
89.9 IPS |
|
|
Text Classification (SP)
|
100% |
2829
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
4797
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4819
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
743
12.8 IPS |
