iPhone 15 Pro Max
Geekbench AI Score
3807
Single Precision Score
6899
Half Precision Score
5656
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 06:46 AM |
| Views | 1 |
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% |
1559
289.9 IPS |
|
|
Image Classification (HP)
|
100% |
2931
545.1 IPS |
|
|
Image Classification (Q)
|
96% |
2035
380.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1564
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2335
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2983
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7619
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
16730
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14051
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1667
132.3 IPS |
|
|
Object Detection (HP)
|
97% |
3262
259.7 IPS |
|
|
Object Detection (Q)
|
94% |
2349
187.2 IPS |
|
|
Face Detection (SP)
|
100% |
3087
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6662
79.2 IPS |
|
|
Face Detection (Q)
|
100% |
3811
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6785
52.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12671
97.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8952
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21001
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33550
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27612
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4669
172.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5689
210.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4369
161.3 IPS |
|
|
Text Classification (SP)
|
100% |
3233
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5606
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5567
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3113
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7246
125.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7308
126.3 IPS |
