iPhone 16 Pro Max
Geekbench AI Score
4267
Single Precision Score
7307
Half Precision Score
5712
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | bs3259 |
| Upload Date | September 12 2025 04:00 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1978
367.8 IPS |
|
|
Image Classification (HP)
|
100% |
3439
639.6 IPS |
|
|
Image Classification (Q)
|
96% |
2300
429.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2724
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3120
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8277
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
16127
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13622
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2162
171.5 IPS |
|
|
Object Detection (HP)
|
97% |
3490
277.9 IPS |
|
|
Object Detection (Q)
|
94% |
2433
193.9 IPS |
|
|
Face Detection (SP)
|
100% |
3407
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
6520
77.5 IPS |
|
|
Face Detection (Q)
|
100% |
3736
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7304
56.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
12726
98.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8473
66.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19535
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33482
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27384
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4799
177.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6849
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4166
153.8 IPS |
|
|
Text Classification (SP)
|
100% |
3718
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6213
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6087
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3838
66.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6964
120.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7080
122.4 IPS |
