iPhone 15 Pro Max
Geekbench AI Score
3763
Single Precision Score
6912
Half Precision Score
5648
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 12:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1556
289.3 IPS |
|
|
Image Classification (HP)
|
100% |
2978
553.9 IPS |
|
|
Image Classification (Q)
|
96% |
2051
383.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2450
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2976
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7019
8.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
15929
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14025
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1632
129.5 IPS |
|
|
Object Detection (HP)
|
97% |
3263
259.7 IPS |
|
|
Object Detection (Q)
|
94% |
2328
185.6 IPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6598
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
3795
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6771
52.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12771
98.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8956
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20925
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33587
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27783
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4639
171.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5644
208.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4386
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5622
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5482
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3125
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7313
126.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7308
126.3 IPS |
