iPhone 16 Pro Max
Geekbench AI Score
4585
Single Precision Score
7760
Half Precision Score
6244
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 27 2026 03:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1968
366.1 IPS |
|
|
Image Classification (HP)
|
100% |
3436
639.1 IPS |
|
|
Image Classification (Q)
|
96% |
2312
431.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1738
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2793
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3271
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9259
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18610
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15765
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2312
183.4 IPS |
|
|
Object Detection (HP)
|
97% |
3729
296.8 IPS |
|
|
Object Detection (Q)
|
94% |
2637
210.2 IPS |
|
|
Face Detection (SP)
|
100% |
3646
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
6989
83.0 IPS |
|
|
Face Detection (Q)
|
100% |
4101
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8248
63.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13813
106.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9748
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22704
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37289
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30903
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5454
201.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7180
265.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5058
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
3703
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6218
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6139
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4073
70.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7402
127.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7478
129.2 IPS |
