iPhone 16 Pro Max
Geekbench AI Score
5891
Single Precision Score
7005
Half Precision Score
6613
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | matta |
| Upload Date | November 25 2025 07:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2914
542.0 IPS |
|
|
Image Classification (HP)
|
100% |
2888
537.0 IPS |
|
|
Image Classification (Q)
|
96% |
3157
589.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4239
68.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4811
78.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4678
75.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14872
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17835
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17015
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3020
239.6 IPS |
|
|
Object Detection (HP)
|
100% |
3341
265.0 IPS |
|
|
Object Detection (Q)
|
92% |
3147
251.2 IPS |
|
|
Face Detection (SP)
|
100% |
7017
83.4 IPS |
|
|
Face Detection (HP)
|
100% |
10212
121.3 IPS |
|
|
Face Detection (Q)
|
100% |
7917
94.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12749
98.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14867
114.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
13464
105.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30967
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38566
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38550
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7319
270.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8105
299.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6863
253.4 IPS |
|
|
Text Classification (SP)
|
100% |
3645
4.87 KIPS |
|
|
Text Classification (HP)
|
99% |
6185
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6146
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1228
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1168
20.2 IPS |
