iPhone 16 Pro Max
Geekbench AI Score
6001
Single Precision Score
6992
Half Precision Score
6759
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 11 2025 03:03 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2981
554.4 IPS |
|
|
Image Classification (HP)
|
100% |
2340
435.2 IPS |
|
|
Image Classification (Q)
|
96% |
3165
591.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4258
69.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4921
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4738
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14896
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18030
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17433
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
3055
242.3 IPS |
|
|
Object Detection (HP)
|
100% |
3345
265.3 IPS |
|
|
Object Detection (Q)
|
92% |
3182
254.0 IPS |
|
|
Face Detection (SP)
|
100% |
7454
88.6 IPS |
|
|
Face Detection (HP)
|
100% |
10740
127.6 IPS |
|
|
Face Detection (Q)
|
100% |
8495
100.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13307
102.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15815
121.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
13888
108.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31145
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39540
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39233
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7369
272.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8129
300.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6916
255.4 IPS |
|
|
Text Classification (SP)
|
100% |
3700
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6143
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6090
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1228
21.2 IPS |
