iPad15,3
Geekbench AI Score
8170
Single Precision Score
9214
Half Precision Score
8647
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | aqus |
| Upload Date | December 27 2025 04:57 PM |
| Views | 8 |
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% |
4033
750.0 IPS |
|
|
Image Classification (HP)
|
100% |
4239
788.3 IPS |
|
|
Image Classification (Q)
|
96% |
3865
721.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6259
101.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6451
104.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6239
101.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22930
26.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
23634
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
23324
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
4206
333.6 IPS |
|
|
Object Detection (HP)
|
100% |
4617
366.2 IPS |
|
|
Object Detection (Q)
|
92% |
4220
336.9 IPS |
|
|
Face Detection (SP)
|
100% |
11483
136.4 IPS |
|
|
Face Detection (HP)
|
100% |
14334
170.3 IPS |
|
|
Face Detection (Q)
|
100% |
11584
137.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18284
140.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19175
147.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
17741
138.6 IPS |
|
|
Style Transfer (SP)
|
100% |
48280
62.1 IPS |
|
|
Style Transfer (HP)
|
100% |
54115
69.6 IPS |
|
|
Style Transfer (Q)
|
96% |
52827
68.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10489
387.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10191
376.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8988
331.9 IPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5366
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5252
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1725
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1818
31.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1922
33.2 IPS |
