iPhone 15 Pro Max
Geekbench AI Score
5015
Single Precision Score
5892
Half Precision Score
5732
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 11:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (HP)
|
100% |
1814
337.4 IPS |
|
|
Image Classification (Q)
|
96% |
2153
402.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3756
60.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4206
68.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4037
65.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12984
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14975
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14391
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2319
184.0 IPS |
|
|
Object Detection (HP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (Q)
|
92% |
2522
201.3 IPS |
|
|
Face Detection (SP)
|
100% |
6429
76.4 IPS |
|
|
Face Detection (HP)
|
100% |
8549
101.6 IPS |
|
|
Face Detection (Q)
|
100% |
7037
83.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10966
84.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12141
93.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
11758
91.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26291
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32249
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32567
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5685
209.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5906
218.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5483
202.4 IPS |
|
|
Text Classification (SP)
|
100% |
3317
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5567
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5605
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1258
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1504
25.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1468
25.4 IPS |
