iPad15,7
Geekbench AI Score
2894
Single Precision Score
3201
Half Precision Score
2906
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 27 2025 03:00 AM |
| Views | 7 |
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% |
712
132.4 IPS |
|
|
Image Classification (HP)
|
100% |
862
160.3 IPS |
|
|
Image Classification (Q)
|
96% |
480
89.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2283
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9444
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10293
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9809
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1064
84.4 IPS |
|
|
Object Detection (HP)
|
100% |
885
70.2 IPS |
|
|
Object Detection (Q)
|
92% |
804
64.1 IPS |
|
|
Face Detection (SP)
|
100% |
3290
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
3613
42.9 IPS |
|
|
Face Detection (Q)
|
100% |
4332
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7240
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7818
60.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6608
51.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17483
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19552
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18870
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2683
99.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2964
109.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2506
92.5 IPS |
|
|
Text Classification (SP)
|
100% |
2815
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4815
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4850
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
766
13.2 IPS |
|
|
Machine Translation (Q)
|
98% |
758
13.1 IPS |
