iPad15,3
Geekbench AI Score
4023
Single Precision Score
31045
Half Precision Score
34594
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | mitmcint |
| Upload Date | December 04 2025 01:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1536
285.6 IPS |
|
|
Image Classification (HP)
|
100% |
16254
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
18297
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22285
361.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
27406
444.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8388
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
121506
141.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
120935
141.7 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.4 IPS |
|
|
Object Detection (HP)
|
100% |
17616
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
20225
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3437
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
39742
472.2 IPS |
|
|
Face Detection (Q)
|
100% |
51754
615.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6980
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97351
750.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
121122
947.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21989
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
230256
296.0 IPS |
|
|
Style Transfer (Q)
|
96% |
218945
282.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4980
183.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48463
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56173
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3186
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5504
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5520
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3319
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4514
77.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4704
81.3 IPS |
