iPhone 16 Pro Max
Geekbench AI Score
5915
Single Precision Score
7082
Half Precision Score
6757
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 28 2025 06:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2891
537.6 IPS |
|
|
Image Classification (HP)
|
100% |
2916
542.2 IPS |
|
|
Image Classification (Q)
|
96% |
3160
590.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4335
70.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4923
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4753
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14972
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18147
21.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17341
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3100
245.9 IPS |
|
|
Object Detection (HP)
|
100% |
3375
267.7 IPS |
|
|
Object Detection (Q)
|
92% |
3222
257.2 IPS |
|
|
Face Detection (SP)
|
100% |
7143
84.9 IPS |
|
|
Face Detection (HP)
|
100% |
10363
123.1 IPS |
|
|
Face Detection (Q)
|
100% |
8110
96.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12786
98.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15220
117.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
14399
112.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30892
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39181
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38486
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7281
268.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8304
306.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6896
254.6 IPS |
|
|
Text Classification (SP)
|
100% |
3672
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6103
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6120
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1195
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1154
19.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1248
21.6 IPS |
