iPhone 16 Pro Max
Geekbench AI Score
4608
Single Precision Score
33173
Half Precision Score
44617
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Chally3411 |
| Upload Date | October 20 2025 01:03 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2003
372.5 IPS |
|
|
Image Classification (HP)
|
100% |
14166
2.63 KIPS |
|
|
Image Classification (Q)
|
97% |
18288
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18078
293.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23743
384.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9127
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
151747
177.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
289263
339.0 IPS |
|
|
Object Detection (SP)
|
100% |
2345
186.0 IPS |
|
|
Object Detection (HP)
|
100% |
15657
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21044
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3615
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
40074
476.2 IPS |
|
|
Face Detection (Q)
|
100% |
53235
632.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8228
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94264
726.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
153839
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
22411
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245026
315.0 IPS |
|
|
Style Transfer (Q)
|
96% |
294528
380.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5548
204.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51736
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78988
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3692
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6141
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6125
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4143
71.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9021
155.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10137
175.2 IPS |
