iPhone 15 Pro
Geekbench AI Score
4344
Single Precision Score
5470
Half Precision Score
4914
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 12 2025 10:07 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1874
348.4 IPS |
|
|
Image Classification (HP)
|
100% |
1966
365.5 IPS |
|
|
Image Classification (Q)
|
96% |
1901
355.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3863
62.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4182
67.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4189
67.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12256
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13756
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
7690
9.01 IPS |
|
|
Object Detection (SP)
|
100% |
1911
151.5 IPS |
|
|
Object Detection (HP)
|
100% |
2266
179.7 IPS |
|
|
Object Detection (Q)
|
92% |
2076
165.7 IPS |
|
|
Face Detection (SP)
|
100% |
4092
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
5808
69.0 IPS |
|
|
Face Detection (Q)
|
100% |
4587
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5368
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7814
60.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
7625
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19761
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17534
22.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20356
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4280
158.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7003
258.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6419
237.0 IPS |
|
|
Text Classification (SP)
|
100% |
3280
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5506
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4959
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2319
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3051
52.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2854
49.3 IPS |
