iPhone 16 Pro Max
Geekbench AI Score
3100
Single Precision Score
3676
Half Precision Score
3534
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | NathanJohnNJ |
| Upload Date | December 20 2025 09:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
842
156.7 IPS |
|
|
Image Classification (HP)
|
100% |
918
170.7 IPS |
|
|
Image Classification (Q)
|
94% |
784
146.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2898
47.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2766
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3541
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6642
7.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
8230
9.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
8034
9.41 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
100% |
1522
120.8 IPS |
|
|
Object Detection (Q)
|
90% |
1433
114.6 IPS |
|
|
Face Detection (SP)
|
100% |
5101
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
7476
88.8 IPS |
|
|
Face Detection (Q)
|
100% |
4653
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6523
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8087
62.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7197
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13859
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18849
24.2 IPS |
|
|
Style Transfer (Q)
|
96% |
20228
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3645
134.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3459
127.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3663
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
2018
2.69 KIPS |
|
|
Text Classification (HP)
|
99% |
3243
4.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3292
4.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1110
19.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1164
20.1 IPS |
