iPad15,3
Geekbench AI Score
4014
Single Precision Score
7136
Half Precision Score
5758
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 07:22 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% |
1521
282.8 IPS |
|
|
Image Classification (HP)
|
100% |
2952
548.9 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2897
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3224
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8363
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
17500
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15087
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1721
136.5 IPS |
|
|
Object Detection (HP)
|
97% |
3243
258.2 IPS |
|
|
Object Detection (Q)
|
94% |
2346
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
3439
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
6896
81.9 IPS |
|
|
Face Detection (Q)
|
100% |
4000
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6971
53.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12758
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9052
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22003
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33839
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28107
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4989
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6137
226.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4473
165.2 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5577
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5526
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3279
56.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6928
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6845
118.3 IPS |
