iPhone 15 Pro
Geekbench AI Score
3819
Single Precision Score
6881
Half Precision Score
5625
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 24 2025 08:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1607
298.9 IPS |
|
|
Image Classification (HP)
|
100% |
3000
557.9 IPS |
|
|
Image Classification (Q)
|
96% |
2051
382.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2374
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2972
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7419
8.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
15416
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13722
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1755
139.2 IPS |
|
|
Object Detection (HP)
|
97% |
3243
258.2 IPS |
|
|
Object Detection (Q)
|
94% |
2364
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
2954
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
6618
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3714
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6651
51.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12739
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8758
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20378
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33465
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27378
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4683
172.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5822
215.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4452
164.4 IPS |
|
|
Text Classification (SP)
|
100% |
3259
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5771
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5829
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3170
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7056
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6946
120.0 IPS |
