iPhone 16 Pro Max
Geekbench AI Score
5827
Single Precision Score
6913
Half Precision Score
6650
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 15 2025 01:48 PM |
| Views | 2 |
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% |
2898
539.0 IPS |
|
|
Image Classification (HP)
|
100% |
2272
422.5 IPS |
|
|
Image Classification (Q)
|
96% |
3072
573.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4190
67.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4846
78.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4674
75.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14784
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17656
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
17180
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2878
228.3 IPS |
|
|
Object Detection (HP)
|
100% |
3382
268.3 IPS |
|
|
Object Detection (Q)
|
92% |
3141
250.7 IPS |
|
|
Face Detection (SP)
|
100% |
6994
83.1 IPS |
|
|
Face Detection (HP)
|
100% |
10303
122.4 IPS |
|
|
Face Detection (Q)
|
100% |
8439
100.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13146
101.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15637
120.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
14453
112.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30669
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39118
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38577
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7343
271.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7993
295.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6839
252.5 IPS |
|
|
Text Classification (SP)
|
100% |
3700
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6268
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6091
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1141
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1201
20.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1115
19.3 IPS |
