iPhone 16 Pro Max
Geekbench AI Score
4527
Single Precision Score
7667
Half Precision Score
6140
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 14 2026 08:48 AM |
| Views | 4 |
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% |
1982
368.5 IPS |
|
|
Image Classification (HP)
|
100% |
3415
635.1 IPS |
|
|
Image Classification (Q)
|
96% |
2320
433.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1763
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2779
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3269
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8865
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17262
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14816
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2308
183.1 IPS |
|
|
Object Detection (HP)
|
97% |
3723
296.4 IPS |
|
|
Object Detection (Q)
|
94% |
2617
208.6 IPS |
|
|
Face Detection (SP)
|
100% |
3581
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
6955
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
4033
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8026
61.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13656
105.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9535
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21731
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36842
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28984
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5412
199.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7196
265.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5116
188.9 IPS |
|
|
Text Classification (SP)
|
100% |
3690
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6204
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6271
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4059
69.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7373
127.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7247
125.2 IPS |
