iPad15,7
Geekbench AI Score
3617
Single Precision Score
6295
Half Precision Score
5167
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 07:06 PM |
| Views | 1 |
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 | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1456
270.9 IPS |
|
|
Image Classification (HP)
|
100% |
2632
489.6 IPS |
|
|
Image Classification (Q)
|
96% |
1824
340.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2678
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6795
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
15243
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13119
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1594
126.4 IPS |
|
|
Object Detection (HP)
|
97% |
2949
234.8 IPS |
|
|
Object Detection (Q)
|
94% |
2119
168.9 IPS |
|
|
Face Detection (SP)
|
100% |
3374
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
6192
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
3529
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6187
47.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11785
91.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8200
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18671
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29854
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24792
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4061
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5161
190.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3937
145.4 IPS |
|
|
Text Classification (SP)
|
100% |
2810
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4819
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4913
6.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3709
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7187
124.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7206
124.5 IPS |
