iPhone 15 Pro
Geekbench AI Score
5065
Single Precision Score
5953
Half Precision Score
5501
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 25 2025 03:42 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2196
408.3 IPS |
|
|
Image Classification (HP)
|
100% |
1993
370.6 IPS |
|
|
Image Classification (Q)
|
96% |
1625
303.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3663
59.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4236
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4040
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13182
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14409
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14151
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2348
186.2 IPS |
|
|
Object Detection (HP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (Q)
|
92% |
2412
192.5 IPS |
|
|
Face Detection (SP)
|
100% |
6394
76.0 IPS |
|
|
Face Detection (HP)
|
100% |
8407
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
7077
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11100
85.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12019
92.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
11278
88.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27581
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32784
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31431
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5607
207.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5908
218.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5450
201.3 IPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5713
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5623
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1536
26.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1474
25.5 IPS |
