iPhone 15 Pro
Geekbench AI Score
3947
Single Precision Score
6988
Half Precision Score
5685
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 10 2025 06:09 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% |
1699
316.0 IPS |
|
|
Image Classification (HP)
|
100% |
2972
552.8 IPS |
|
|
Image Classification (Q)
|
96% |
2033
379.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1608
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2480
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2995
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8012
9.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
16733
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14335
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1758
139.5 IPS |
|
|
Object Detection (HP)
|
97% |
3317
264.1 IPS |
|
|
Object Detection (Q)
|
94% |
2383
190.0 IPS |
|
|
Face Detection (SP)
|
100% |
3178
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6792
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3838
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6834
52.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12751
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9020
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21513
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34240
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27484
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4887
180.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5734
211.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4442
164.0 IPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5710
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5731
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3216
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6993
120.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7006
121.1 IPS |
