iPhone 15 Pro
Geekbench AI Score
5034
Single Precision Score
5917
Half Precision Score
5686
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 04:13 PM |
| Views | 3 |
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% |
2000
372.0 IPS |
|
|
Image Classification (HP)
|
100% |
1800
334.7 IPS |
|
|
Image Classification (Q)
|
96% |
1989
371.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3697
59.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4227
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4071
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13112
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15083
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14520
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2275
180.5 IPS |
|
|
Object Detection (HP)
|
100% |
2834
224.8 IPS |
|
|
Object Detection (Q)
|
92% |
2531
202.0 IPS |
|
|
Face Detection (SP)
|
100% |
6522
77.5 IPS |
|
|
Face Detection (HP)
|
100% |
8936
106.2 IPS |
|
|
Face Detection (Q)
|
100% |
7021
83.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10950
84.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12262
94.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
11303
88.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26863
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32379
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31750
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5710
210.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6055
223.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5567
205.6 IPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5445
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5517
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1384
23.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1535
26.5 IPS |
