iPhone 16 Pro Max
Geekbench AI Score
2451
Single Precision Score
4195
Half Precision Score
3314
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 31 2025 03:38 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1119
208.2 IPS |
|
|
Image Classification (HP)
|
100% |
1910
355.1 IPS |
|
|
Image Classification (Q)
|
96% |
1234
230.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
833
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1697
27.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1881
30.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4679
5.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
9976
11.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
8670
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (HP)
|
97% |
2159
171.8 IPS |
|
|
Object Detection (Q)
|
94% |
1502
119.7 IPS |
|
|
Face Detection (SP)
|
100% |
1813
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
3514
41.8 IPS |
|
|
Face Detection (Q)
|
100% |
2077
24.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4501
34.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
7922
61.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
5554
43.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12764
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21167
27.2 IPS |
|
|
Style Transfer (Q)
|
96% |
16861
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3380
124.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4072
150.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2839
104.8 IPS |
|
|
Text Classification (SP)
|
100% |
2039
2.72 KIPS |
|
|
Text Classification (HP)
|
99% |
3318
4.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3271
4.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1905
32.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3040
52.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2930
50.6 IPS |
