iPad15,3
Geekbench AI Score
8117
Single Precision Score
9305
Half Precision Score
8717
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 03:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4090
760.7 IPS |
|
|
Image Classification (HP)
|
100% |
4349
808.8 IPS |
|
|
Image Classification (Q)
|
96% |
3939
735.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6128
99.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6497
105.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6271
101.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
21677
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24039
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23462
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4210
333.9 IPS |
|
|
Object Detection (HP)
|
100% |
4554
361.3 IPS |
|
|
Object Detection (Q)
|
92% |
4231
337.7 IPS |
|
|
Face Detection (SP)
|
100% |
11456
136.1 IPS |
|
|
Face Detection (HP)
|
100% |
14497
172.3 IPS |
|
|
Face Detection (Q)
|
100% |
11666
138.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17688
136.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19315
148.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
17652
137.9 IPS |
|
|
Style Transfer (SP)
|
100% |
47191
60.7 IPS |
|
|
Style Transfer (HP)
|
100% |
54728
70.4 IPS |
|
|
Style Transfer (Q)
|
96% |
47704
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10067
371.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10288
379.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8864
327.3 IPS |
|
|
Text Classification (SP)
|
100% |
3166
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5574
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5577
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1781
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1792
30.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2129
36.8 IPS |
