iPhone 15 Pro
Geekbench AI Score
5015
Single Precision Score
5978
Half Precision Score
5682
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 10 2025 08:11 AM |
| 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% |
1881
349.9 IPS |
|
|
Image Classification (HP)
|
100% |
1907
354.6 IPS |
|
|
Image Classification (Q)
|
96% |
2175
406.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3675
59.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4153
67.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4032
65.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12893
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
14914
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14533
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2327
184.5 IPS |
|
|
Object Detection (HP)
|
100% |
2673
212.1 IPS |
|
|
Object Detection (Q)
|
92% |
2435
194.4 IPS |
|
|
Face Detection (SP)
|
100% |
6658
79.1 IPS |
|
|
Face Detection (HP)
|
100% |
9228
109.7 IPS |
|
|
Face Detection (Q)
|
100% |
7406
88.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11368
87.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12615
97.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
11038
86.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27045
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32596
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32359
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5617
207.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6134
226.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5192
191.7 IPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5552
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5528
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1298
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1430
24.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1490
25.7 IPS |
