iPad15,3
Geekbench AI Score
2471
Single Precision Score
4325
Half Precision Score
3466
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 12 2025 10:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 2.17 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
921
171.4 IPS |
|
|
Image Classification (HP)
|
100% |
1743
324.1 IPS |
|
|
Image Classification (Q)
|
96% |
1194
223.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1093
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1930
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5158
6.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
10634
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9108
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1048
83.1 IPS |
|
|
Object Detection (HP)
|
97% |
1963
156.3 IPS |
|
|
Object Detection (Q)
|
94% |
1403
111.8 IPS |
|
|
Face Detection (SP)
|
100% |
2112
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
3986
47.4 IPS |
|
|
Face Detection (Q)
|
100% |
2349
27.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4301
33.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
7846
60.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
5487
42.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13190
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20206
26.0 IPS |
|
|
Style Transfer (Q)
|
96% |
16664
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3082
113.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3706
136.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2674
98.8 IPS |
|
|
Text Classification (SP)
|
100% |
2050
2.74 KIPS |
|
|
Text Classification (HP)
|
99% |
3431
4.58 KIPS |
|
|
Text Classification (Q)
|
93% |
3419
4.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2065
35.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4415
76.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4328
74.8 IPS |
