iPhone 15 Pro
Geekbench AI Score
2472
Single Precision Score
2944
Half Precision Score
2765
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 31 2025 04:45 AM |
| Views | 1 |
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% |
2012
374.2 IPS |
|
|
Image Classification (HP)
|
100% |
2066
384.2 IPS |
|
|
Image Classification (Q)
|
96% |
2195
409.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3797
61.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4337
70.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4139
67.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13201
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15263
17.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14624
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2360
187.2 IPS |
|
|
Object Detection (HP)
|
100% |
2900
230.0 IPS |
|
|
Object Detection (Q)
|
92% |
2543
203.0 IPS |
|
|
Face Detection (SP)
|
100% |
6215
73.8 IPS |
|
|
Face Detection (HP)
|
100% |
9034
107.3 IPS |
|
|
Face Detection (Q)
|
100% |
7034
83.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11152
85.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12370
95.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
11522
90.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27406
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33063
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31917
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5850
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6116
225.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5571
205.7 IPS |
|
|
Text Classification (SP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5475
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5375
7.21 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
10.1 IPS |
|
|
Machine Translation (HP)
|
0% |
0
11.3 IPS |
|
|
Machine Translation (Q)
|
0% |
0
10.1 IPS |
