iPhone 16 Pro Max
Geekbench AI Score
5838
Single Precision Score
7148
Half Precision Score
6657
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | adrianclark |
| Upload Date | September 25 2025 05:23 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2927
544.4 IPS |
|
|
Image Classification (HP)
|
100% |
3204
595.8 IPS |
|
|
Image Classification (Q)
|
96% |
3125
583.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4122
66.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4828
78.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4647
75.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14728
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16788
19.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16510
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2979
236.3 IPS |
|
|
Object Detection (HP)
|
100% |
3694
293.0 IPS |
|
|
Object Detection (Q)
|
92% |
3134
250.2 IPS |
|
|
Face Detection (SP)
|
100% |
6913
82.1 IPS |
|
|
Face Detection (HP)
|
100% |
10324
122.7 IPS |
|
|
Face Detection (Q)
|
100% |
8050
95.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12419
95.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14806
114.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
13760
107.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31202
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38218
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
38267
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7219
266.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8081
298.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6877
253.9 IPS |
|
|
Text Classification (SP)
|
100% |
3804
5.08 KIPS |
|
|
Text Classification (HP)
|
99% |
6460
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6551
8.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1191
20.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1192
20.6 IPS |
