iPad15,3
Geekbench AI Score
8236
Single Precision Score
8256
Half Precision Score
8083
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 31 2025 02:13 PM |
| Views | 1 |
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% |
4035
750.3 IPS |
|
|
Image Classification (HP)
|
100% |
2260
420.2 IPS |
|
|
Image Classification (Q)
|
96% |
2094
391.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6215
100.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5701
92.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6088
98.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22886
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23652
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
23333
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
3791
300.7 IPS |
|
|
Object Detection (HP)
|
100% |
4453
353.2 IPS |
|
|
Object Detection (Q)
|
92% |
4207
335.8 IPS |
|
|
Face Detection (SP)
|
100% |
11374
135.1 IPS |
|
|
Face Detection (HP)
|
100% |
12514
148.7 IPS |
|
|
Face Detection (Q)
|
100% |
11531
137.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18425
142.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19429
149.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
18002
140.6 IPS |
|
|
Style Transfer (SP)
|
100% |
48564
62.4 IPS |
|
|
Style Transfer (HP)
|
100% |
52975
68.1 IPS |
|
|
Style Transfer (Q)
|
96% |
50553
65.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10121
373.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7604
280.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8979
331.5 IPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5506
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5248
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2157
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2013
34.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1924
33.3 IPS |
