iPad15,3
Geekbench AI Score
4172
Single Precision Score
31076
Half Precision Score
34628
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 03:34 PM |
| Views | 3 |
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% |
1614
300.2 IPS |
|
|
Image Classification (HP)
|
100% |
16251
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
18237
3.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1891
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21967
356.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27498
445.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8937
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121178
141.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
121094
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1812
143.8 IPS |
|
|
Object Detection (HP)
|
100% |
17797
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
20174
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3549
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
39371
467.8 IPS |
|
|
Face Detection (Q)
|
100% |
51516
612.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7187
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
97083
748.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
121753
951.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22289
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
227631
292.6 IPS |
|
|
Style Transfer (Q)
|
96% |
220879
285.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5241
193.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49114
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55348
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5686
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5635
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3350
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4491
77.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4684
80.9 IPS |
