iPad15,7
Geekbench AI Score
2956
Single Precision Score
5019
Half Precision Score
4142
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 01 2025 12:28 PM |
| Views | 3 |
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% |
1453
270.3 IPS |
|
|
Image Classification (HP)
|
100% |
2630
489.0 IPS |
|
|
Image Classification (Q)
|
96% |
1808
337.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2679
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6778
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
13346
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11129
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1442
114.4 IPS |
|
|
Object Detection (HP)
|
97% |
1902
151.4 IPS |
|
|
Object Detection (Q)
|
94% |
1350
107.6 IPS |
|
|
Face Detection (SP)
|
100% |
2043
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
4563
54.2 IPS |
|
|
Face Detection (Q)
|
100% |
3066
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3649
28.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10527
81.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6068
47.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14458
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18669
24.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19064
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3003
110.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3239
119.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2997
110.7 IPS |
|
|
Text Classification (SP)
|
100% |
2259
3.01 KIPS |
|
|
Text Classification (HP)
|
99% |
4664
6.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3110
4.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3340
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5310
91.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6193
107.0 IPS |
