iPhone 16 Pro Max
Geekbench AI Score
5879
Single Precision Score
7048
Half Precision Score
6728
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2025 03:32 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2870
533.8 IPS |
|
|
Image Classification (HP)
|
100% |
2919
542.8 IPS |
|
|
Image Classification (Q)
|
96% |
3090
577.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4184
67.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4851
78.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4689
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14853
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17818
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17085
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3068
243.3 IPS |
|
|
Object Detection (HP)
|
100% |
3337
264.7 IPS |
|
|
Object Detection (Q)
|
92% |
3391
270.6 IPS |
|
|
Face Detection (SP)
|
100% |
6941
82.5 IPS |
|
|
Face Detection (HP)
|
100% |
10361
123.1 IPS |
|
|
Face Detection (Q)
|
100% |
8128
96.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12543
96.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14973
115.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
13819
107.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30624
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38996
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
38478
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7387
272.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8081
298.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7018
259.1 IPS |
|
|
Text Classification (SP)
|
100% |
3664
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
6084
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6087
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1251
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1227
21.2 IPS |
