iPhone 16 Pro Max
Geekbench AI Score
4627
Single Precision Score
7843
Half Precision Score
6212
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | pom8646 |
| Upload Date | August 24 2025 05:28 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2048
380.9 IPS |
|
|
Image Classification (HP)
|
100% |
3388
630.0 IPS |
|
|
Image Classification (Q)
|
96% |
2271
424.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1928
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2850
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3326
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9425
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18485
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15409
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2339
185.5 IPS |
|
|
Object Detection (HP)
|
97% |
3795
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2648
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
3896
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
7430
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
4169
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8245
63.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14340
110.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9902
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20390
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37512
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30365
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5455
201.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7313
270.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5088
187.9 IPS |
|
|
Text Classification (SP)
|
100% |
3400
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
6022
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5925
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4262
73.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7394
127.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7353
127.1 IPS |
