iPad15,3
Geekbench AI Score
3823
Single Precision Score
6562
Half Precision Score
5495
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | November 11 2025 04:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1536
285.6 IPS |
|
|
Image Classification (HP)
|
100% |
2991
556.2 IPS |
|
|
Image Classification (Q)
|
96% |
1727
322.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2747
44.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3202
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7808
9.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
11445
13.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11603
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1336
106.0 IPS |
|
|
Object Detection (HP)
|
97% |
3234
257.5 IPS |
|
|
Object Detection (Q)
|
94% |
2337
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
3491
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
6756
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3965
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7017
54.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12584
97.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9069
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21879
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26451
34.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28043
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4959
183.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6115
225.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4468
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5590
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5546
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3198
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6341
109.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6703
115.8 IPS |
