iPad15,7
Geekbench AI Score
3595
Single Precision Score
21859
Half Precision Score
24972
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 05:33 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 5.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1408
261.9 IPS |
|
|
Image Classification (HP)
|
100% |
8738
1.63 KIPS |
|
|
Image Classification (Q)
|
97% |
11148
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1481
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14501
235.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19030
308.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6618
7.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
95455
111.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
102317
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1610
127.7 IPS |
|
|
Object Detection (HP)
|
100% |
11529
914.5 IPS |
|
|
Object Detection (Q)
|
91% |
14041
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3295
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
31232
371.1 IPS |
|
|
Face Detection (Q)
|
100% |
38757
460.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6151
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
71559
551.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
89792
702.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18564
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
169953
218.5 IPS |
|
|
Style Transfer (Q)
|
96% |
173385
223.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4070
150.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31766
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35707
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2771
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2116
2.82 KIPS |
|
|
Text Classification (Q)
|
93% |
1767
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3835
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6997
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8128
140.5 IPS |
