iPad15,3
Geekbench AI Score
4026
Single Precision Score
31032
Half Precision Score
34545
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 03:39 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% |
1538
286.0 IPS |
|
|
Image Classification (HP)
|
100% |
16428
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
18415
3.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22321
361.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26946
436.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8414
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
120814
141.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
121125
142.0 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.4 IPS |
|
|
Object Detection (HP)
|
100% |
17300
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
20383
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
3446
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
39695
471.7 IPS |
|
|
Face Detection (Q)
|
100% |
51720
614.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6989
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97060
747.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
121711
951.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22027
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
228811
294.1 IPS |
|
|
Style Transfer (Q)
|
96% |
220178
284.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5002
184.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47825
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54318
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3188
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5677
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5594
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3290
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4515
77.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4692
81.1 IPS |
