iPhone 16 Pro Max
Geekbench AI Score
6113
Single Precision Score
7003
Half Precision Score
6783
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | June 17 2025 04:25 PM |
| Views | 3 |
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% |
2936
546.0 IPS |
|
|
Image Classification (HP)
|
100% |
2619
487.1 IPS |
|
|
Image Classification (Q)
|
96% |
3116
581.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4447
72.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4937
80.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4761
77.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15672
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17089
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16979
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3202
254.0 IPS |
|
|
Object Detection (HP)
|
100% |
3463
274.7 IPS |
|
|
Object Detection (Q)
|
92% |
3170
253.0 IPS |
|
|
Face Detection (SP)
|
100% |
7661
91.0 IPS |
|
|
Face Detection (HP)
|
100% |
10805
128.4 IPS |
|
|
Face Detection (Q)
|
100% |
8378
99.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13514
104.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14970
115.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
14064
109.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33130
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38748
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39146
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8047
297.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8334
307.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7586
280.1 IPS |
|
|
Text Classification (SP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5994
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5854
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1193
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1185
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1262
21.8 IPS |
