iPhone 16 Pro Max
Geekbench AI Score
2877
Single Precision Score
3468
Half Precision Score
3268
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 07 2025 02:23 AM |
| Views | 4 |
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% |
2759
513.2 IPS |
|
|
Image Classification (HP)
|
100% |
2647
492.2 IPS |
|
|
Image Classification (Q)
|
96% |
3122
583.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4243
68.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4904
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4684
75.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14855
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17621
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
17009
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3053
242.2 IPS |
|
|
Object Detection (HP)
|
100% |
3661
290.4 IPS |
|
|
Object Detection (Q)
|
92% |
3153
251.7 IPS |
|
|
Face Detection (SP)
|
100% |
6981
83.0 IPS |
|
|
Face Detection (HP)
|
100% |
10250
121.8 IPS |
|
|
Face Detection (Q)
|
100% |
7980
94.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12593
97.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15354
118.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
14071
109.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30410
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38419
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
37657
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7453
275.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8179
302.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6923
255.6 IPS |
|
|
Text Classification (SP)
|
100% |
3673
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6092
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6066
8.14 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
9.65 IPS |
|
|
Machine Translation (HP)
|
0% |
0
10.1 IPS |
|
|
Machine Translation (Q)
|
0% |
0
8.90 IPS |
