iPhone 15 Pro
Geekbench AI Score
5169
Single Precision Score
5920
Half Precision Score
5560
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 13 2025 07:09 PM |
| Views | 38 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2106
391.6 IPS |
|
|
Image Classification (HP)
|
100% |
1907
354.6 IPS |
|
|
Image Classification (Q)
|
96% |
1640
306.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3745
60.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4238
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4182
67.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13391
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14555
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14140
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2444
193.8 IPS |
|
|
Object Detection (HP)
|
100% |
2807
222.7 IPS |
|
|
Object Detection (Q)
|
92% |
2471
197.3 IPS |
|
|
Face Detection (SP)
|
100% |
6116
72.7 IPS |
|
|
Face Detection (HP)
|
100% |
8273
98.3 IPS |
|
|
Face Detection (Q)
|
100% |
6700
79.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10745
82.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12099
93.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
11416
89.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27224
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32664
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30954
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5995
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5854
216.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5404
199.5 IPS |
|
|
Text Classification (SP)
|
100% |
3313
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
5774
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5761
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1486
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1449
25.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1599
27.6 IPS |
