iPhone 15 Pro
Geekbench AI Score
4950
Single Precision Score
5924
Half Precision Score
5624
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 11:58 PM |
| Views | 4 |
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% |
1775
330.0 IPS |
|
|
Image Classification (HP)
|
100% |
1806
335.8 IPS |
|
|
Image Classification (Q)
|
96% |
2095
391.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3656
59.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4240
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4017
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13021
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14958
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14484
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2307
183.0 IPS |
|
|
Object Detection (HP)
|
100% |
2613
207.3 IPS |
|
|
Object Detection (Q)
|
92% |
2438
194.6 IPS |
|
|
Face Detection (SP)
|
100% |
6509
77.3 IPS |
|
|
Face Detection (HP)
|
100% |
8817
104.8 IPS |
|
|
Face Detection (Q)
|
100% |
6764
80.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10815
83.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12308
94.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
11841
92.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27149
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32476
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32439
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5681
209.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5984
221.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5379
198.6 IPS |
|
|
Text Classification (SP)
|
100% |
3155
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5553
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5521
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1323
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1521
26.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1382
23.9 IPS |
