iPad15,3
Geekbench AI Score
8045
Single Precision Score
9333
Half Precision Score
8608
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4086
760.0 IPS |
|
|
Image Classification (HP)
|
100% |
4334
805.9 IPS |
|
|
Image Classification (Q)
|
96% |
3926
733.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6179
100.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6493
105.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6266
101.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
21690
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24030
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23461
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4229
335.4 IPS |
|
|
Object Detection (HP)
|
100% |
4570
362.5 IPS |
|
|
Object Detection (Q)
|
92% |
4252
339.4 IPS |
|
|
Face Detection (SP)
|
100% |
11445
136.0 IPS |
|
|
Face Detection (HP)
|
100% |
14468
171.9 IPS |
|
|
Face Detection (Q)
|
100% |
11639
138.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17767
136.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19336
149.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
17686
138.1 IPS |
|
|
Style Transfer (SP)
|
100% |
47045
60.5 IPS |
|
|
Style Transfer (HP)
|
100% |
54705
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
52992
68.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10094
372.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10284
379.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8859
327.1 IPS |
|
|
Text Classification (SP)
|
100% |
3179
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5472
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5524
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1886
32.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1706
29.5 IPS |
