iPhone 16 Pro Max
Geekbench AI Score
4408
Single Precision Score
7566
Half Precision Score
6064
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Rikyz25 |
| Upload Date | August 23 2025 09:39 AM |
| Views | 28 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1975
367.2 IPS |
|
|
Image Classification (HP)
|
100% |
3466
644.6 IPS |
|
|
Image Classification (Q)
|
96% |
2319
433.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2783
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3257
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8457
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
16983
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14338
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2259
179.2 IPS |
|
|
Object Detection (HP)
|
97% |
3702
294.7 IPS |
|
|
Object Detection (Q)
|
94% |
2620
208.9 IPS |
|
|
Face Detection (SP)
|
100% |
3454
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
6820
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3879
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7818
60.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13320
103.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9387
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20775
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36524
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29564
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5086
187.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7019
259.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4921
181.7 IPS |
|
|
Text Classification (SP)
|
100% |
3742
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
6293
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6102
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4001
68.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6925
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7338
126.8 IPS |
