iPhone 16 Pro Max
Geekbench AI Score
4594
Single Precision Score
7724
Half Precision Score
6181
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 12 2025 10:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1972
366.8 IPS |
|
|
Image Classification (HP)
|
100% |
3444
640.4 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1752
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2802
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3261
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9108
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17985
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15107
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2330
184.8 IPS |
|
|
Object Detection (HP)
|
97% |
3744
298.1 IPS |
|
|
Object Detection (Q)
|
94% |
2625
209.2 IPS |
|
|
Face Detection (SP)
|
100% |
3654
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
6996
83.1 IPS |
|
|
Face Detection (Q)
|
100% |
4071
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8115
62.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13738
106.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9585
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22257
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37284
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30046
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5551
205.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7178
265.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5095
188.1 IPS |
|
|
Text Classification (SP)
|
100% |
3777
5.04 KIPS |
|
|
Text Classification (HP)
|
99% |
6276
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6195
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4132
71.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7210
124.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7319
126.5 IPS |
