iPad15,3
Geekbench AI Score
4020
Single Precision Score
31104
Half Precision Score
34641
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dr3d |
| Upload Date | September 17 2025 03:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1522
283.0 IPS |
|
|
Image Classification (HP)
|
100% |
16357
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
18408
3.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1804
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22293
361.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27496
445.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8337
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
121996
142.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
120783
141.6 IPS |
|
|
Object Detection (SP)
|
100% |
1723
136.7 IPS |
|
|
Object Detection (HP)
|
100% |
17847
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
20526
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3485
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
39459
468.9 IPS |
|
|
Face Detection (Q)
|
100% |
51571
612.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7057
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
96967
747.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
122172
955.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21979
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
229462
295.0 IPS |
|
|
Style Transfer (Q)
|
96% |
220743
284.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4965
183.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48443
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54460
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5576
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5568
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3269
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4502
77.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4702
81.3 IPS |
