iPhone 16 Pro Max
Geekbench AI Score
4428
Single Precision Score
33548
Half Precision Score
45274
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | dd1989 |
| Upload Date | August 03 2025 03:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2027
377.0 IPS |
|
|
Image Classification (HP)
|
100% |
14252
2.65 KIPS |
|
|
Image Classification (Q)
|
97% |
18242
3.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18099
293.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23683
383.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8517
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
146560
171.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
286398
335.7 IPS |
|
|
Object Detection (SP)
|
100% |
2255
178.9 IPS |
|
|
Object Detection (HP)
|
100% |
15682
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21075
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3472
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
39550
469.9 IPS |
|
|
Face Detection (Q)
|
100% |
53142
631.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7804
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
93446
719.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
149723
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
20689
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244020
313.7 IPS |
|
|
Style Transfer (Q)
|
96% |
298111
384.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5059
186.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50609
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77205
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
3696
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6119
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6081
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4017
69.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10909
187.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12460
215.3 IPS |
