iPhone 16 Pro Max
Geekbench AI Score
6462
Single Precision Score
7428
Half Precision Score
6969
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 09 2026 08:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3142
584.3 IPS |
|
|
Image Classification (HP)
|
100% |
3252
604.9 IPS |
|
|
Image Classification (Q)
|
96% |
3161
590.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4108
66.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4816
78.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4613
74.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14549
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17197
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
16283
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
3044
241.5 IPS |
|
|
Object Detection (HP)
|
100% |
3570
283.2 IPS |
|
|
Object Detection (Q)
|
91% |
3394
271.2 IPS |
|
|
Face Detection (SP)
|
100% |
6755
80.3 IPS |
|
|
Face Detection (HP)
|
100% |
10311
122.5 IPS |
|
|
Face Detection (Q)
|
100% |
9855
117.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12049
92.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14481
111.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
13748
107.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30841
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39120
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37372
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7239
267.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8004
295.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6810
251.5 IPS |
|
|
Text Classification (SP)
|
100% |
3684
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6174
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6055
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3318
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1843
31.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1608
27.8 IPS |
