iPhone 16 Pro Max
Geekbench AI Score
4400
Single Precision Score
33231
Half Precision Score
45028
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | ands84 |
| Upload Date | August 22 2025 01:48 PM |
| Views | 6 |
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% |
1996
371.3 IPS |
|
|
Image Classification (HP)
|
100% |
14202
2.64 KIPS |
|
|
Image Classification (Q)
|
97% |
18753
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18028
292.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23667
383.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8630
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
147332
171.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
289582
339.4 IPS |
|
|
Object Detection (SP)
|
100% |
2281
181.0 IPS |
|
|
Object Detection (HP)
|
100% |
15882
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21264
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3505
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
39393
468.1 IPS |
|
|
Face Detection (Q)
|
100% |
53527
636.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7629
58.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94249
726.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
153960
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
20232
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244838
314.7 IPS |
|
|
Style Transfer (Q)
|
96% |
295040
380.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5026
185.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52617
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80692
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6270
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6242
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3974
68.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9141
157.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10239
176.9 IPS |
