iPhone 16 Pro Max
Geekbench AI Score
4476
Single Precision Score
7551
Half Precision Score
6023
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 12 2026 10:07 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1987
369.6 IPS |
|
|
Image Classification (HP)
|
100% |
3476
646.4 IPS |
|
|
Image Classification (Q)
|
96% |
2322
433.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1729
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2768
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3246
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8792
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16619
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14198
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2277
180.6 IPS |
|
|
Object Detection (HP)
|
97% |
3682
293.1 IPS |
|
|
Object Detection (Q)
|
94% |
2569
204.8 IPS |
|
|
Face Detection (SP)
|
100% |
3568
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
6740
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3930
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7856
60.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13182
101.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9248
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21390
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35761
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29046
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5252
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7129
263.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4923
181.8 IPS |
|
|
Text Classification (SP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6100
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6066
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4047
69.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7412
128.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7252
125.3 IPS |
