iPhone 15 Pro
Geekbench AI Score
4022
Single Precision Score
7044
Half Precision Score
5750
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 11 2025 08:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1704
316.8 IPS |
|
|
Image Classification (HP)
|
100% |
3018
561.3 IPS |
|
|
Image Classification (Q)
|
96% |
2040
381.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3053
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8442
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
17435
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15018
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1806
143.2 IPS |
|
|
Object Detection (HP)
|
97% |
3356
267.1 IPS |
|
|
Object Detection (Q)
|
94% |
2387
190.3 IPS |
|
|
Face Detection (SP)
|
100% |
3202
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6845
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
3871
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7132
54.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12947
100.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9091
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22066
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35034
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28593
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4995
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5771
213.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4466
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5794
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5619
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3242
55.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6981
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7015
121.2 IPS |
