iPhone 16 Pro Max
Geekbench AI Score
4590
Single Precision Score
7717
Half Precision Score
6198
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 27 2026 11:49 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2003
372.5 IPS |
|
|
Image Classification (HP)
|
100% |
3421
636.1 IPS |
|
|
Image Classification (Q)
|
96% |
2308
431.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1818
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2821
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3289
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9335
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17574
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15151
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2330
184.9 IPS |
|
|
Object Detection (HP)
|
97% |
3718
296.0 IPS |
|
|
Object Detection (Q)
|
94% |
2616
208.5 IPS |
|
|
Face Detection (SP)
|
100% |
3602
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
6974
82.9 IPS |
|
|
Face Detection (Q)
|
100% |
4055
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8160
62.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13755
106.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9660
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21805
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37344
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30529
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5489
202.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7122
263.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5140
189.8 IPS |
|
|
Text Classification (SP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6300
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6127
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4053
69.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7399
127.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7395
127.8 IPS |
