iPhone 15 Pro
Geekbench AI Score
5121
Single Precision Score
5963
Half Precision Score
5424
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 11 2025 09:09 PM |
| Views | 2 |
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% |
1913
355.7 IPS |
|
|
Image Classification (HP)
|
100% |
1943
361.4 IPS |
|
|
Image Classification (Q)
|
96% |
1463
273.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3704
60.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4187
67.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4044
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13522
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14694
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14495
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.6 IPS |
|
|
Object Detection (HP)
|
100% |
2805
222.5 IPS |
|
|
Object Detection (Q)
|
92% |
2518
201.0 IPS |
|
|
Face Detection (SP)
|
100% |
6633
78.8 IPS |
|
|
Face Detection (HP)
|
100% |
9241
109.8 IPS |
|
|
Face Detection (Q)
|
100% |
7072
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11717
90.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12699
97.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
11407
89.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27655
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32085
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31795
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5751
212.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5604
206.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5071
187.2 IPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5655
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5723
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1324
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1422
24.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1373
23.7 IPS |
