iPhone 15 Pro
Geekbench AI Score
5082
Single Precision Score
5879
Half Precision Score
5695
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 30 2025 01:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1952
363.0 IPS |
|
|
Image Classification (HP)
|
100% |
1852
344.4 IPS |
|
|
Image Classification (Q)
|
96% |
2144
400.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3789
61.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4270
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4111
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13341
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15112
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14553
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2364
187.5 IPS |
|
|
Object Detection (HP)
|
100% |
2605
206.6 IPS |
|
|
Object Detection (Q)
|
92% |
2486
198.5 IPS |
|
|
Face Detection (SP)
|
100% |
6286
74.7 IPS |
|
|
Face Detection (HP)
|
100% |
8732
103.8 IPS |
|
|
Face Detection (Q)
|
100% |
7061
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11088
85.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12494
96.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
11259
87.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27224
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32689
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33390
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5850
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5979
220.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5666
209.2 IPS |
|
|
Text Classification (SP)
|
100% |
3302
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5452
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5564
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1344
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1365
23.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1345
23.3 IPS |
