iPhone 15 Pro
Geekbench AI Score
3847
Single Precision Score
6836
Half Precision Score
5610
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | deutros |
| Upload Date | March 17 2025 03:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1626
302.3 IPS |
|
|
Image Classification (HP)
|
100% |
2987
555.4 IPS |
|
|
Image Classification (Q)
|
96% |
2046
382.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3017
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8079
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
16471
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14354
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1733
137.4 IPS |
|
|
Object Detection (HP)
|
97% |
3243
258.1 IPS |
|
|
Object Detection (Q)
|
94% |
2358
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3068
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6708
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
3801
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6793
52.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12693
98.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8951
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20946
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28823
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
25942
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4364
161.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6143
226.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4448
164.3 IPS |
|
|
Text Classification (SP)
|
100% |
3298
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
5839
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5658
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3159
54.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6668
115.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6654
115.0 IPS |
