iPad15,3
Geekbench AI Score
4137
Single Precision Score
7074
Half Precision Score
5715
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 12:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
1615
300.4 IPS |
|
|
Image Classification (HP)
|
100% |
2995
556.9 IPS |
|
|
Image Classification (Q)
|
96% |
2096
391.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1898
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2952
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3265
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8979
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17513
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15087
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1823
144.6 IPS |
|
|
Object Detection (HP)
|
97% |
3222
256.5 IPS |
|
|
Object Detection (Q)
|
94% |
2338
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
3590
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
6848
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
3985
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7164
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12737
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9019
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22325
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34588
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28586
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5232
193.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6141
226.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4470
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
2982
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5318
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5284
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3271
56.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6390
110.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6348
109.7 IPS |
