iPad15,7
Geekbench AI Score
3441
Single Precision Score
6256
Half Precision Score
5120
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 22 2025 01:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1339
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
2630
489.1 IPS |
|
|
Image Classification (Q)
|
96% |
1815
339.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1418
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2673
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6380
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
14974
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12862
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1476
117.1 IPS |
|
|
Object Detection (HP)
|
97% |
2949
234.8 IPS |
|
|
Object Detection (Q)
|
94% |
2116
168.6 IPS |
|
|
Face Detection (SP)
|
100% |
3282
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6208
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
3545
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5986
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11735
90.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8196
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18379
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29162
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24284
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3821
141.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5094
188.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3916
144.6 IPS |
|
|
Text Classification (SP)
|
100% |
2743
3.66 KIPS |
|
|
Text Classification (HP)
|
99% |
4916
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4806
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3447
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7042
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7062
122.0 IPS |
