iPad15,3
Geekbench AI Score
4166
Single Precision Score
30274
Half Precision Score
33810
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | August 22 2025 12:02 AM |
| Views | 7 |
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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1592
296.1 IPS |
|
|
Image Classification (HP)
|
100% |
16151
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
18272
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1891
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21921
355.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27439
444.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8868
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
121519
141.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
121090
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (HP)
|
100% |
17359
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
20108
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3556
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
39437
468.6 IPS |
|
|
Face Detection (Q)
|
100% |
51759
615.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7171
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
91932
708.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
113785
889.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22483
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
225106
289.4 IPS |
|
|
Style Transfer (Q)
|
96% |
216341
279.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5244
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41526
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47238
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5692
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5690
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3336
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4490
77.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4670
80.7 IPS |
