iPad15,3
Geekbench AI Score
4034
Single Precision Score
7152
Half Precision Score
5789
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 04 2025 02:05 AM |
| Views | 2 |
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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1533
285.1 IPS |
|
|
Image Classification (HP)
|
100% |
2992
556.4 IPS |
|
|
Image Classification (Q)
|
96% |
2101
392.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1841
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2966
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3274
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8402
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
17547
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15112
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1723
136.6 IPS |
|
|
Object Detection (HP)
|
97% |
3253
259.0 IPS |
|
|
Object Detection (Q)
|
94% |
2357
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3492
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
6926
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
4005
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6991
53.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12828
99.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9052
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21977
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33784
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28183
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5010
185.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6137
226.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4471
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
3172
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5491
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5511
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3281
56.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6838
118.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6857
118.5 IPS |
