iPad15,3
Geekbench AI Score
8257
Single Precision Score
9296
Half Precision Score
8537
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | rgba |
| Upload Date | September 06 2025 04:12 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4024
748.4 IPS |
|
|
Image Classification (HP)
|
100% |
4221
785.1 IPS |
|
|
Image Classification (Q)
|
96% |
3856
720.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6173
100.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6437
104.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6246
101.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22927
26.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
23615
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
23327
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
4194
332.6 IPS |
|
|
Object Detection (HP)
|
100% |
4608
365.5 IPS |
|
|
Object Detection (Q)
|
92% |
4211
336.1 IPS |
|
|
Face Detection (SP)
|
100% |
11462
136.2 IPS |
|
|
Face Detection (HP)
|
100% |
14334
170.3 IPS |
|
|
Face Detection (Q)
|
100% |
11574
137.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18256
140.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19208
148.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
17758
138.7 IPS |
|
|
Style Transfer (SP)
|
100% |
48259
62.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54056
69.5 IPS |
|
|
Style Transfer (Q)
|
96% |
52800
68.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10426
385.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10177
375.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8988
331.9 IPS |
|
|
Text Classification (SP)
|
100% |
2983
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5305
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5337
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1964
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2029
35.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1671
28.9 IPS |
