iPad15,3
Geekbench AI Score
4022
Single Precision Score
7157
Half Precision Score
5796
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 02:00 AM |
| 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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1508
280.4 IPS |
|
|
Image Classification (HP)
|
100% |
2977
553.5 IPS |
|
|
Image Classification (Q)
|
96% |
2090
390.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1834
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2953
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3287
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8415
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
17552
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15117
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1724
136.7 IPS |
|
|
Object Detection (HP)
|
97% |
3255
259.2 IPS |
|
|
Object Detection (Q)
|
94% |
2365
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3470
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
6897
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
4006
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6985
53.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12764
98.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9051
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21991
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33840
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28145
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4956
183.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6186
228.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4477
165.3 IPS |
|
|
Text Classification (SP)
|
100% |
3178
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5593
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5634
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3293
56.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6817
117.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6779
117.1 IPS |
