iPad15,3
Geekbench AI Score
4019
Single Precision Score
31164
Half Precision Score
34630
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 01:55 AM |
| Views | 3 |
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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1536
285.6 IPS |
|
|
Image Classification (HP)
|
100% |
16256
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
19119
3.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1840
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22320
361.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27453
445.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8393
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
121596
141.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
121298
142.2 IPS |
|
|
Object Detection (SP)
|
100% |
1700
134.8 IPS |
|
|
Object Detection (HP)
|
100% |
18328
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
20292
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3412
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
39513
469.5 IPS |
|
|
Face Detection (Q)
|
100% |
51526
612.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6983
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
96947
746.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
121562
950.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22008
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
229128
294.5 IPS |
|
|
Style Transfer (Q)
|
96% |
220267
284.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4985
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49344
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54400
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3155
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5472
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5453
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3310
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4510
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4692
81.1 IPS |
