iPhone 16 Pro Max
Geekbench AI Score
4348
Single Precision Score
7413
Half Precision Score
5939
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 11:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1991
370.2 IPS |
|
|
Image Classification (HP)
|
100% |
3420
636.1 IPS |
|
|
Image Classification (Q)
|
96% |
2306
430.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2626
42.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3096
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8296
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
16549
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13970
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2176
172.6 IPS |
|
|
Object Detection (HP)
|
97% |
3600
286.6 IPS |
|
|
Object Detection (Q)
|
94% |
2496
199.0 IPS |
|
|
Face Detection (SP)
|
100% |
3437
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
6714
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3823
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7584
58.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13018
100.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9042
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20518
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34777
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28539
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5170
190.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7078
261.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4910
181.3 IPS |
|
|
Text Classification (SP)
|
100% |
3699
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6164
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6161
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3973
68.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7071
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7356
127.1 IPS |
