iPhone 15 Pro
Geekbench AI Score
4981
Single Precision Score
6099
Half Precision Score
5365
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | szityus |
| Upload Date | February 28 2025 02:05 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2148
399.5 IPS |
|
|
Image Classification (HP)
|
100% |
2300
427.7 IPS |
|
|
Image Classification (Q)
|
97% |
2011
375.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2890
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3749
60.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3783
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13142
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14037
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13280
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2403
190.6 IPS |
|
|
Object Detection (HP)
|
100% |
2979
236.3 IPS |
|
|
Object Detection (Q)
|
91% |
2379
190.1 IPS |
|
|
Face Detection (SP)
|
100% |
6543
77.7 IPS |
|
|
Face Detection (HP)
|
100% |
9215
109.5 IPS |
|
|
Face Detection (Q)
|
100% |
6384
75.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11361
87.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12262
94.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
10772
84.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27683
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32596
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30419
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5971
220.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6589
243.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4963
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5537
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5519
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1470
25.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1437
24.8 IPS |
