iPhone 16 Pro Max
Geekbench AI Score
5923
Single Precision Score
7012
Half Precision Score
6593
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Jasin55 |
| Upload Date | July 31 2025 09:47 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2978
553.8 IPS |
|
|
Image Classification (HP)
|
100% |
2504
465.7 IPS |
|
|
Image Classification (Q)
|
96% |
2804
523.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4269
69.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4932
79.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4743
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14833
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17974
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17349
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3076
244.0 IPS |
|
|
Object Detection (HP)
|
100% |
3353
265.9 IPS |
|
|
Object Detection (Q)
|
92% |
3195
255.0 IPS |
|
|
Face Detection (SP)
|
100% |
7417
88.1 IPS |
|
|
Face Detection (HP)
|
100% |
10766
127.9 IPS |
|
|
Face Detection (Q)
|
100% |
8173
97.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13310
102.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15941
122.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
14319
111.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31465
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40434
52.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38731
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7357
271.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8111
299.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6847
252.8 IPS |
|
|
Text Classification (SP)
|
100% |
3645
4.87 KIPS |
|
|
Text Classification (HP)
|
99% |
5904
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5875
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1101
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1162
20.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1156
20.0 IPS |
