iPad15,7
Geekbench AI Score
3036
Single Precision Score
3150
Half Precision Score
2961
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 02:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
784
145.8 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.3 IPS |
|
|
Image Classification (Q)
|
96% |
562
104.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2316
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2297
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2204
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9540
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10396
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10059
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1095
86.9 IPS |
|
|
Object Detection (HP)
|
100% |
1075
85.3 IPS |
|
|
Object Detection (Q)
|
92% |
975
77.9 IPS |
|
|
Face Detection (SP)
|
100% |
4640
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
5116
60.8 IPS |
|
|
Face Detection (Q)
|
100% |
4090
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6643
51.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6317
48.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6056
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17505
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19551
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18918
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2972
109.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2872
106.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2610
96.4 IPS |
|
|
Text Classification (SP)
|
100% |
2755
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4888
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4777
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
816
14.1 IPS |
|
|
Machine Translation (Q)
|
98% |
731
12.6 IPS |
