iPhone 16 Pro Max
Geekbench AI Score
4489
Single Precision Score
7671
Half Precision Score
6143
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 29 2025 12:17 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% |
1993
370.7 IPS |
|
|
Image Classification (HP)
|
100% |
3461
643.7 IPS |
|
|
Image Classification (Q)
|
96% |
2335
436.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2842
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3284
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8807
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17535
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14779
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2289
181.5 IPS |
|
|
Object Detection (HP)
|
97% |
3709
295.3 IPS |
|
|
Object Detection (Q)
|
94% |
2615
208.4 IPS |
|
|
Face Detection (SP)
|
100% |
3548
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
6869
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
3979
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8013
61.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13599
105.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9530
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21119
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37173
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30291
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5268
194.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7104
262.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4998
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3691
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6297
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6197
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3922
67.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7101
122.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7265
125.6 IPS |
