iPhone 15 Pro
Geekbench AI Score
5080
Single Precision Score
5946
Half Precision Score
5665
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 10 2025 07:52 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1982
368.6 IPS |
|
|
Image Classification (HP)
|
100% |
1765
328.3 IPS |
|
|
Image Classification (Q)
|
96% |
2120
395.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3732
60.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4205
68.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4054
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12949
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14847
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
14328
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2316
183.7 IPS |
|
|
Object Detection (HP)
|
100% |
2639
209.3 IPS |
|
|
Object Detection (Q)
|
92% |
2473
197.4 IPS |
|
|
Face Detection (SP)
|
100% |
6611
78.6 IPS |
|
|
Face Detection (HP)
|
100% |
9246
109.9 IPS |
|
|
Face Detection (Q)
|
100% |
7329
87.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11385
87.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12911
99.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
11887
92.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26997
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32620
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31270
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5827
215.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5872
216.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5088
187.9 IPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5665
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5544
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1344
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1468
25.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1457
25.2 IPS |
