iPad15,7
Geekbench AI Score
2814
Single Precision Score
3344
Half Precision Score
3136
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 03:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
613
114.0 IPS |
|
|
Image Classification (HP)
|
100% |
985
183.2 IPS |
|
|
Image Classification (Q)
|
96% |
896
167.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2295
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2214
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9549
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10424
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10160
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1098
87.1 IPS |
|
|
Object Detection (HP)
|
100% |
1005
79.7 IPS |
|
|
Object Detection (Q)
|
92% |
951
75.9 IPS |
|
|
Face Detection (SP)
|
100% |
3193
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
4954
58.9 IPS |
|
|
Face Detection (Q)
|
100% |
4218
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6703
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6574
50.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6091
47.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17511
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19569
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18916
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2878
106.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2859
105.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2729
100.8 IPS |
|
|
Text Classification (SP)
|
100% |
2824
3.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4785
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4771
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
839
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
759
13.1 IPS |
