iPhone 16 Pro Max
Geekbench AI Score
4474
Single Precision Score
7644
Half Precision Score
6101
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 25 2025 12:16 AM |
| Views | 6 |
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% |
2002
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
3429
637.8 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1749
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2781
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3269
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8636
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17217
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14479
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2279
180.8 IPS |
|
|
Object Detection (HP)
|
97% |
3681
293.1 IPS |
|
|
Object Detection (Q)
|
94% |
2591
206.5 IPS |
|
|
Face Detection (SP)
|
100% |
3554
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
6939
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
3936
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7924
61.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13527
104.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9420
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20828
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36759
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30098
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5303
195.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7190
265.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5104
188.5 IPS |
|
|
Text Classification (SP)
|
100% |
3713
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6189
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6086
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4042
69.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7348
127.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7238
125.1 IPS |
