iPhone 15 Pro
Geekbench AI Score
5019
Single Precision Score
5967
Half Precision Score
5659
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2025 03:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1916
356.2 IPS |
|
|
Image Classification (HP)
|
100% |
1802
335.0 IPS |
|
|
Image Classification (Q)
|
96% |
2020
377.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3716
60.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4223
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4030
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13114
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15052
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14546
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2332
185.0 IPS |
|
|
Object Detection (HP)
|
100% |
2723
216.0 IPS |
|
|
Object Detection (Q)
|
92% |
2525
201.6 IPS |
|
|
Face Detection (SP)
|
100% |
6416
76.2 IPS |
|
|
Face Detection (HP)
|
100% |
8697
103.3 IPS |
|
|
Face Detection (Q)
|
100% |
6946
82.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10966
84.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12642
97.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
11342
88.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27418
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32534
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33264
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5905
218.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6013
222.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5420
200.2 IPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5836
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5817
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1462
25.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1365
23.6 IPS |
