iPad15,3
Geekbench AI Score
7554
Single Precision Score
9412
Half Precision Score
8640
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 02:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4089
760.4 IPS |
|
|
Image Classification (HP)
|
100% |
4327
804.7 IPS |
|
|
Image Classification (Q)
|
96% |
3949
737.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6238
101.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6495
105.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6267
101.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
21669
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24030
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23450
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
2187
173.4 IPS |
|
|
Object Detection (HP)
|
100% |
4570
362.5 IPS |
|
|
Object Detection (Q)
|
92% |
4236
338.2 IPS |
|
|
Face Detection (SP)
|
100% |
11478
136.4 IPS |
|
|
Face Detection (HP)
|
100% |
14562
173.0 IPS |
|
|
Face Detection (Q)
|
100% |
11690
138.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17708
136.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19321
148.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
17658
137.9 IPS |
|
|
Style Transfer (SP)
|
100% |
47146
60.6 IPS |
|
|
Style Transfer (HP)
|
100% |
54561
70.1 IPS |
|
|
Style Transfer (Q)
|
96% |
53094
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10275
379.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10276
379.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8876
327.7 IPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5687
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5653
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1972
34.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1715
29.6 IPS |
