iPad15,7
Geekbench AI Score
2830
Single Precision Score
5564
Half Precision Score
4487
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DDriver |
| Upload Date | October 13 2025 08:25 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1311
243.9 IPS |
|
|
Image Classification (HP)
|
100% |
2623
487.8 IPS |
|
|
Image Classification (Q)
|
96% |
1805
337.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2673
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6318
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
14754
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12715
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1448
114.8 IPS |
|
|
Object Detection (HP)
|
97% |
2531
201.5 IPS |
|
|
Object Detection (Q)
|
94% |
1923
153.3 IPS |
|
|
Face Detection (SP)
|
100% |
2803
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
5533
65.7 IPS |
|
|
Face Detection (Q)
|
100% |
3178
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3774
29.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
6819
52.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
4833
37.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11400
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26664
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
19810
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2490
92.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4364
161.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2944
108.7 IPS |
|
|
Text Classification (SP)
|
100% |
2051
2.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4845
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4848
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3184
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6426
111.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6467
111.7 IPS |
