iPhone 16 Pro Max
Geekbench AI Score
6886
Single Precision Score
8073
Half Precision Score
7744
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2026 11:53 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
3137
583.3 IPS |
|
|
Image Classification (HP)
|
100% |
3292
612.3 IPS |
|
|
Image Classification (Q)
|
96% |
3358
627.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4288
69.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4927
79.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4695
76.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14905
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18006
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17191
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3193
253.3 IPS |
|
|
Object Detection (HP)
|
100% |
3520
279.2 IPS |
|
|
Object Detection (Q)
|
91% |
3702
295.9 IPS |
|
|
Face Detection (SP)
|
100% |
7156
85.0 IPS |
|
|
Face Detection (HP)
|
100% |
10997
130.7 IPS |
|
|
Face Detection (Q)
|
100% |
10405
123.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12841
98.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15253
117.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
14404
112.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31689
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40489
52.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38208
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7383
272.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8178
302.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7154
264.2 IPS |
|
|
Text Classification (SP)
|
99% |
6940
9.26 KIPS |
|
|
Text Classification (HP)
|
100% |
10910
14.6 KIPS |
|
|
Text Classification (Q)
|
93% |
10665
14.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
2512
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1888
32.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1770
30.6 IPS |
