iPhone 16 Pro Max
Geekbench AI Score
4463
Single Precision Score
7558
Half Precision Score
6072
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2025 03:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1994
370.8 IPS |
|
|
Image Classification (HP)
|
100% |
3444
640.4 IPS |
|
|
Image Classification (Q)
|
96% |
2328
434.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1734
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2800
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3268
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8710
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17445
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14578
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.2 IPS |
|
|
Object Detection (HP)
|
97% |
3680
293.0 IPS |
|
|
Object Detection (Q)
|
94% |
2591
206.5 IPS |
|
|
Face Detection (SP)
|
100% |
3540
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
6768
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
3948
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7893
60.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13424
103.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9341
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20693
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35124
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29162
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5271
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7008
258.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5061
186.9 IPS |
|
|
Text Classification (SP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6102
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6076
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4018
69.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7203
124.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7180
124.1 IPS |
