iPhone 16 Pro Max
Geekbench AI Score
4366
Single Precision Score
33519
Half Precision Score
45546
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 05:50 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
14543
2.70 KIPS |
|
|
Image Classification (Q)
|
97% |
18803
3.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1795
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18098
293.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23533
381.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8341
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
143486
167.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
285298
334.4 IPS |
|
|
Object Detection (SP)
|
100% |
2282
181.0 IPS |
|
|
Object Detection (HP)
|
100% |
15636
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21171
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3497
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
39733
472.1 IPS |
|
|
Face Detection (Q)
|
100% |
53652
637.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7608
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
93935
723.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
152089
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
20410
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
242869
312.2 IPS |
|
|
Style Transfer (Q)
|
96% |
294815
380.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4961
183.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51454
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78881
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
3453
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
6094
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6063
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3927
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10668
183.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12493
215.9 IPS |
