iPad15,3
Geekbench AI Score
4029
Single Precision Score
7152
Half Precision Score
5777
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 07:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1539
286.2 IPS |
|
|
Image Classification (HP)
|
100% |
2982
554.5 IPS |
|
|
Image Classification (Q)
|
96% |
2099
391.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1835
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2953
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3249
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8417
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
17538
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15106
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1724
136.7 IPS |
|
|
Object Detection (HP)
|
97% |
3265
259.9 IPS |
|
|
Object Detection (Q)
|
94% |
2353
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3477
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
6911
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
4000
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6973
53.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12758
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9050
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21976
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33834
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28113
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4973
183.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6135
226.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4469
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
3178
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5484
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5456
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3274
56.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6926
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6887
119.0 IPS |
