iPhone 16 Pro Max
Geekbench AI Score
5841
Single Precision Score
7162
Half Precision Score
6645
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 25 2025 02:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2998
557.5 IPS |
|
|
Image Classification (HP)
|
100% |
2952
548.9 IPS |
|
|
Image Classification (Q)
|
96% |
3114
581.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4210
68.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4879
79.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4708
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14868
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17652
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16840
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
3035
240.7 IPS |
|
|
Object Detection (HP)
|
100% |
3673
291.3 IPS |
|
|
Object Detection (Q)
|
92% |
3127
249.6 IPS |
|
|
Face Detection (SP)
|
100% |
6951
82.6 IPS |
|
|
Face Detection (HP)
|
100% |
10252
121.8 IPS |
|
|
Face Detection (Q)
|
100% |
7950
94.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12560
96.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14946
115.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
13768
107.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30460
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38901
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38468
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7305
269.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8170
301.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6979
257.7 IPS |
|
|
Text Classification (SP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6217
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6068
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1257
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1220
21.1 IPS |
