iPad15,3
Geekbench AI Score
8181
Single Precision Score
9183
Half Precision Score
8719
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 07:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
4038
750.9 IPS |
|
|
Image Classification (HP)
|
100% |
4222
785.1 IPS |
|
|
Image Classification (Q)
|
96% |
3838
716.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6238
101.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6434
104.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6230
101.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22906
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23622
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
23326
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
4193
332.6 IPS |
|
|
Object Detection (HP)
|
100% |
4610
365.7 IPS |
|
|
Object Detection (Q)
|
92% |
4204
335.5 IPS |
|
|
Face Detection (SP)
|
100% |
11358
135.0 IPS |
|
|
Face Detection (HP)
|
100% |
14307
170.0 IPS |
|
|
Face Detection (Q)
|
100% |
11549
137.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18206
140.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19133
147.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
17776
138.8 IPS |
|
|
Style Transfer (SP)
|
100% |
48713
62.6 IPS |
|
|
Style Transfer (HP)
|
100% |
54080
69.5 IPS |
|
|
Style Transfer (Q)
|
96% |
52786
68.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10419
384.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10171
375.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8981
331.6 IPS |
|
|
Text Classification (SP)
|
100% |
2955
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5312
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5370
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1790
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1804
31.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2073
35.8 IPS |
