iPhone 16 Pro Max
Geekbench AI Score
4633
Single Precision Score
33251
Half Precision Score
44741
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 12 2026 12:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2039
379.2 IPS |
|
|
Image Classification (HP)
|
100% |
13912
2.59 KIPS |
|
|
Image Classification (Q)
|
97% |
18401
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1847
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18192
294.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23727
384.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9090
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
151822
177.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
290704
340.7 IPS |
|
|
Object Detection (SP)
|
100% |
2340
185.6 IPS |
|
|
Object Detection (HP)
|
100% |
16007
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21262
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3654
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
39928
474.4 IPS |
|
|
Face Detection (Q)
|
100% |
53183
631.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8246
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94426
727.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
149619
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
22400
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244985
314.9 IPS |
|
|
Style Transfer (Q)
|
96% |
294661
380.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5555
205.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50756
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79766
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3692
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6169
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6124
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4115
70.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9290
160.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10400
179.7 IPS |
