iPhone 16 Pro Max
Geekbench AI Score
5924
Single Precision Score
7102
Half Precision Score
6654
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 06:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2963
551.0 IPS |
|
|
Image Classification (HP)
|
100% |
3076
572.0 IPS |
|
|
Image Classification (Q)
|
96% |
3092
577.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4290
69.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4895
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4713
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14910
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18012
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17194
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3017
239.3 IPS |
|
|
Object Detection (HP)
|
100% |
3329
264.1 IPS |
|
|
Object Detection (Q)
|
92% |
3131
249.9 IPS |
|
|
Face Detection (SP)
|
100% |
7102
84.4 IPS |
|
|
Face Detection (HP)
|
100% |
10357
123.1 IPS |
|
|
Face Detection (Q)
|
100% |
8023
95.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12615
97.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14837
114.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
13810
107.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31069
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38868
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
37741
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7332
270.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8244
304.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6866
253.5 IPS |
|
|
Text Classification (SP)
|
100% |
3664
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
6051
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6038
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1252
21.6 IPS |
