iPad15,3
Geekbench AI Score
8137
Single Precision Score
9325
Half Precision Score
8643
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 04 2025 10:01 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.17 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4087
760.0 IPS |
|
|
Image Classification (HP)
|
100% |
4341
807.3 IPS |
|
|
Image Classification (Q)
|
96% |
3926
733.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6086
98.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6475
105.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6279
101.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
21678
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24034
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23410
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
4214
334.3 IPS |
|
|
Object Detection (HP)
|
100% |
4573
362.7 IPS |
|
|
Object Detection (Q)
|
92% |
4228
337.5 IPS |
|
|
Face Detection (SP)
|
100% |
11404
135.5 IPS |
|
|
Face Detection (HP)
|
100% |
14421
171.3 IPS |
|
|
Face Detection (Q)
|
100% |
11627
138.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17721
136.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19289
148.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
17655
137.9 IPS |
|
|
Style Transfer (SP)
|
100% |
47131
60.6 IPS |
|
|
Style Transfer (HP)
|
100% |
54730
70.4 IPS |
|
|
Style Transfer (Q)
|
96% |
53029
68.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10108
373.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10290
380.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9024
333.2 IPS |
|
|
Text Classification (SP)
|
100% |
3262
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5762
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5701
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1784
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1784
30.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1703
29.4 IPS |
