iPad15,3
Geekbench AI Score
8089
Single Precision Score
9129
Half Precision Score
8563
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 07:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
4019
747.3 IPS |
|
|
Image Classification (HP)
|
100% |
4227
786.1 IPS |
|
|
Image Classification (Q)
|
96% |
3881
724.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6236
101.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6421
104.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6254
101.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22910
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23624
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
23327
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
4178
331.4 IPS |
|
|
Object Detection (HP)
|
100% |
4617
366.2 IPS |
|
|
Object Detection (Q)
|
92% |
4224
337.2 IPS |
|
|
Face Detection (SP)
|
100% |
11393
135.4 IPS |
|
|
Face Detection (HP)
|
100% |
14310
170.0 IPS |
|
|
Face Detection (Q)
|
100% |
11561
137.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18140
139.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19145
147.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
17754
138.7 IPS |
|
|
Style Transfer (SP)
|
100% |
48737
62.7 IPS |
|
|
Style Transfer (HP)
|
100% |
54044
69.5 IPS |
|
|
Style Transfer (Q)
|
96% |
52840
68.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10521
388.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10122
373.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8971
331.2 IPS |
|
|
Text Classification (SP)
|
100% |
2994
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5407
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5421
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1577
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1676
28.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1682
29.1 IPS |
