iPhone 15 Pro
Geekbench AI Score
5130
Single Precision Score
5929
Half Precision Score
5721
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 06 2025 07:35 PM |
| 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% |
2149
399.7 IPS |
|
|
Image Classification (HP)
|
100% |
1731
321.8 IPS |
|
|
Image Classification (Q)
|
96% |
2358
440.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3668
59.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4198
68.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4074
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13229
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15056
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14515
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2297
182.2 IPS |
|
|
Object Detection (HP)
|
100% |
2551
202.4 IPS |
|
|
Object Detection (Q)
|
92% |
2461
196.5 IPS |
|
|
Face Detection (SP)
|
100% |
6420
76.3 IPS |
|
|
Face Detection (HP)
|
100% |
8684
103.2 IPS |
|
|
Face Detection (Q)
|
100% |
6891
81.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11018
84.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12578
96.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
11507
89.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26979
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32380
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31619
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6220
229.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6783
250.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5446
201.1 IPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5701
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5436
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1378
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1408
24.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1475
25.5 IPS |
