iPhone 16 Pro Max
Geekbench AI Score
5855
Single Precision Score
6963
Half Precision Score
6558
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 09:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
3057
568.5 IPS |
|
|
Image Classification (HP)
|
100% |
3073
571.5 IPS |
|
|
Image Classification (Q)
|
96% |
3063
572.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4125
66.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4794
77.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4594
74.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14769
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17299
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16635
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2996
237.6 IPS |
|
|
Object Detection (HP)
|
100% |
3244
257.3 IPS |
|
|
Object Detection (Q)
|
92% |
3112
248.4 IPS |
|
|
Face Detection (SP)
|
100% |
7101
84.4 IPS |
|
|
Face Detection (HP)
|
100% |
10238
121.6 IPS |
|
|
Face Detection (Q)
|
100% |
7730
91.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12466
96.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14625
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
13477
105.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30412
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38422
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38048
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7297
269.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7761
286.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6844
252.7 IPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6141
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6189
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1204
20.8 IPS |
