iPad15,3
Geekbench AI Score
4057
Single Precision Score
30889
Half Precision Score
34656
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | aqus |
| Upload Date | December 28 2025 05:34 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1546
287.5 IPS |
|
|
Image Classification (HP)
|
100% |
16324
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
19737
3.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1858
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22460
364.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26882
435.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8412
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
121589
141.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
121273
142.1 IPS |
|
|
Object Detection (SP)
|
100% |
1731
137.3 IPS |
|
|
Object Detection (HP)
|
100% |
17326
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
20321
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3524
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
39649
471.1 IPS |
|
|
Face Detection (Q)
|
100% |
51726
614.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7098
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
96755
745.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
121312
948.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22020
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
228712
294.0 IPS |
|
|
Style Transfer (Q)
|
96% |
220286
284.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5013
185.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47542
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54156
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3165
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5460
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5461
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3311
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4496
77.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4676
80.8 IPS |
