iPhone 16 Pro Max
Geekbench AI Score
3876
Single Precision Score
6592
Half Precision Score
5172
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 09:17 PM |
| Views | 1 |
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% |
1929
358.7 IPS |
|
|
Image Classification (HP)
|
100% |
3378
628.1 IPS |
|
|
Image Classification (Q)
|
96% |
2294
428.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1648
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2985
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7590
8.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
14698
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12321
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
2084
165.3 IPS |
|
|
Object Detection (HP)
|
97% |
3142
250.2 IPS |
|
|
Object Detection (Q)
|
94% |
2294
182.8 IPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5492
65.3 IPS |
|
|
Face Detection (Q)
|
100% |
3126
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6323
48.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
11734
90.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8087
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15921
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30004
38.6 IPS |
|
|
Style Transfer (Q)
|
96% |
25103
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4335
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6526
241.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4226
156.0 IPS |
|
|
Text Classification (SP)
|
100% |
3711
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6522
8.70 KIPS |
|
|
Text Classification (Q)
|
93% |
6043
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3115
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5113
88.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4367
75.5 IPS |
