iPhone 16 Pro Max
Geekbench AI Score
4517
Single Precision Score
7706
Half Precision Score
6156
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 15 2025 11:49 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% |
1977
367.7 IPS |
|
|
Image Classification (HP)
|
100% |
3413
634.8 IPS |
|
|
Image Classification (Q)
|
96% |
2318
432.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1730
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2774
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3262
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8698
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17531
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14724
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2292
181.8 IPS |
|
|
Object Detection (HP)
|
97% |
3695
294.1 IPS |
|
|
Object Detection (Q)
|
94% |
2609
208.0 IPS |
|
|
Face Detection (SP)
|
100% |
3638
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
6940
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
4032
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8041
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13634
105.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9507
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21705
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38111
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30294
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5413
199.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7197
265.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5121
189.1 IPS |
|
|
Text Classification (SP)
|
100% |
3734
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6274
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6081
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4047
69.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7398
127.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7443
128.6 IPS |
