iPad15,7
Geekbench AI Score
3447
Single Precision Score
21748
Half Precision Score
24936
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 27 2025 03:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1313
244.2 IPS |
|
|
Image Classification (HP)
|
100% |
9013
1.68 KIPS |
|
|
Image Classification (Q)
|
97% |
10975
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13577
220.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19304
312.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6492
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
98761
115.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
101919
119.5 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.2 IPS |
|
|
Object Detection (HP)
|
100% |
12385
982.4 IPS |
|
|
Object Detection (Q)
|
91% |
14386
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3287
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
28981
344.4 IPS |
|
|
Face Detection (Q)
|
100% |
37795
449.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5998
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
71924
554.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
90912
710.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18792
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
170215
218.8 IPS |
|
|
Style Transfer (Q)
|
96% |
172811
223.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3849
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32635
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34720
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2774
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1919
2.56 KIPS |
|
|
Text Classification (Q)
|
93% |
1808
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3403
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7119
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8029
138.8 IPS |
