iPad15,7
Geekbench AI Score
2924
Single Precision Score
3324
Half Precision Score
3212
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DDriver |
| Upload Date | October 13 2025 08:29 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
709
131.8 IPS |
|
|
Image Classification (HP)
|
100% |
965
179.4 IPS |
|
|
Image Classification (Q)
|
96% |
907
169.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2371
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2258
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9538
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10381
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10105
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1121
88.9 IPS |
|
|
Object Detection (HP)
|
100% |
1004
79.7 IPS |
|
|
Object Detection (Q)
|
92% |
943
75.3 IPS |
|
|
Face Detection (SP)
|
100% |
3415
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
4865
57.8 IPS |
|
|
Face Detection (Q)
|
100% |
4075
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6617
51.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6470
49.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6471
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17542
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19460
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18920
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2953
109.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3022
111.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2729
100.8 IPS |
|
|
Text Classification (SP)
|
100% |
2813
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4899
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4858
6.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (Q)
|
98% |
908
15.7 IPS |
