iPhone 16 Pro Max
Geekbench AI Score
6125
Single Precision Score
7106
Half Precision Score
6830
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 06 2025 05:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2862
532.3 IPS |
|
|
Image Classification (HP)
|
100% |
2783
517.6 IPS |
|
|
Image Classification (Q)
|
96% |
2893
540.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4486
72.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4963
80.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4792
77.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15859
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17674
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16999
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3143
249.3 IPS |
|
|
Object Detection (HP)
|
100% |
3442
273.0 IPS |
|
|
Object Detection (Q)
|
92% |
3451
275.5 IPS |
|
|
Face Detection (SP)
|
100% |
7699
91.5 IPS |
|
|
Face Detection (HP)
|
100% |
10932
129.9 IPS |
|
|
Face Detection (Q)
|
100% |
8595
102.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13586
104.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14887
114.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
14560
113.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33111
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38755
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39126
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8106
299.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8257
304.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7461
275.5 IPS |
|
|
Text Classification (SP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5957
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5898
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1262
21.8 IPS |
