iPhone 15 Pro
Geekbench AI Score
3976
Single Precision Score
7019
Half Precision Score
5724
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 31 2025 08:42 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% |
1703
316.6 IPS |
|
|
Image Classification (HP)
|
100% |
2967
551.8 IPS |
|
|
Image Classification (Q)
|
96% |
2045
382.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2376
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3048
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8270
9.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
16891
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14726
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1782
141.4 IPS |
|
|
Object Detection (HP)
|
97% |
3343
266.1 IPS |
|
|
Object Detection (Q)
|
94% |
2382
189.9 IPS |
|
|
Face Detection (SP)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6846
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
3857
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6944
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12872
99.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9014
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21482
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34443
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27900
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4934
182.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5846
215.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4464
164.8 IPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5848
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5617
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3212
55.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7034
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7104
122.8 IPS |
