iPhone 16 Pro Max
Geekbench AI Score
4598
Single Precision Score
7734
Half Precision Score
6236
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 30 2025 02:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1974
367.1 IPS |
|
|
Image Classification (HP)
|
100% |
3442
640.1 IPS |
|
|
Image Classification (Q)
|
96% |
2316
432.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1774
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2787
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3285
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9426
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18683
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15743
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2328
184.6 IPS |
|
|
Object Detection (HP)
|
97% |
3725
296.6 IPS |
|
|
Object Detection (Q)
|
94% |
2635
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
3614
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
7022
83.4 IPS |
|
|
Face Detection (Q)
|
100% |
4125
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8285
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13763
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9761
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22898
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37486
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31394
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5454
201.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7196
265.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5080
187.6 IPS |
|
|
Text Classification (SP)
|
100% |
3635
4.85 KIPS |
|
|
Text Classification (HP)
|
99% |
5955
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5963
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4052
69.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7391
127.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7360
127.2 IPS |
