iPhone 15 Pro
Geekbench AI Score
4964
Single Precision Score
5725
Half Precision Score
5340
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 08 2025 07:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1862
346.3 IPS |
|
|
Image Classification (HP)
|
100% |
1725
320.8 IPS |
|
|
Image Classification (Q)
|
96% |
2023
377.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3759
60.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4211
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4065
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13282
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15094
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14555
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2360
187.2 IPS |
|
|
Object Detection (HP)
|
100% |
2714
215.2 IPS |
|
|
Object Detection (Q)
|
92% |
2434
194.3 IPS |
|
|
Face Detection (SP)
|
100% |
6513
77.4 IPS |
|
|
Face Detection (HP)
|
100% |
8678
103.1 IPS |
|
|
Face Detection (Q)
|
100% |
7126
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10997
84.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10736
82.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9872
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25008
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29577
38.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19942
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4649
171.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5551
205.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5301
195.7 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5525
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5493
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1556
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1505
25.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1587
27.4 IPS |
