iPhone 16 Pro Max
Geekbench AI Score
4360
Single Precision Score
7383
Half Precision Score
5913
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Kenzmllr |
| Upload Date | September 17 2025 11:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1992
370.4 IPS |
|
|
Image Classification (HP)
|
100% |
3434
638.7 IPS |
|
|
Image Classification (Q)
|
96% |
2294
428.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2736
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3144
51.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8354
9.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
16382
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13913
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2270
180.1 IPS |
|
|
Object Detection (HP)
|
97% |
3649
290.5 IPS |
|
|
Object Detection (Q)
|
94% |
2543
202.7 IPS |
|
|
Face Detection (SP)
|
100% |
3433
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
6563
78.0 IPS |
|
|
Face Detection (Q)
|
100% |
3836
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7630
58.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13206
102.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9117
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19979
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34199
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28601
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4983
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6789
250.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4792
176.9 IPS |
|
|
Text Classification (SP)
|
100% |
3691
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6159
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6117
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3973
68.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6915
119.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6988
120.8 IPS |
