iPad15,3
Geekbench AI Score
7862
Single Precision Score
9036
Half Precision Score
8379
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 18 2025 06:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4026
748.7 IPS |
|
|
Image Classification (HP)
|
100% |
4208
782.6 IPS |
|
|
Image Classification (Q)
|
96% |
3874
723.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5982
97.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6459
104.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6180
100.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
21165
24.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23584
27.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
23027
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
4076
323.3 IPS |
|
|
Object Detection (HP)
|
100% |
4459
353.7 IPS |
|
|
Object Detection (Q)
|
92% |
4140
330.4 IPS |
|
|
Face Detection (SP)
|
100% |
10989
130.6 IPS |
|
|
Face Detection (HP)
|
100% |
14059
167.0 IPS |
|
|
Face Detection (Q)
|
100% |
11333
134.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17210
132.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18951
146.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
17360
135.6 IPS |
|
|
Style Transfer (SP)
|
100% |
46353
59.6 IPS |
|
|
Style Transfer (HP)
|
100% |
53549
68.8 IPS |
|
|
Style Transfer (Q)
|
96% |
51822
66.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9987
368.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10025
370.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8687
320.8 IPS |
|
|
Text Classification (SP)
|
100% |
3195
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5471
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5426
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1553
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1624
28.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1556
26.9 IPS |
