iPhone 16 Pro Max
Geekbench AI Score
4609
Single Precision Score
7769
Half Precision Score
6245
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 02:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2011
374.0 IPS |
|
|
Image Classification (HP)
|
100% |
3489
648.8 IPS |
|
|
Image Classification (Q)
|
96% |
2333
435.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1820
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2807
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3285
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9241
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18336
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15574
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2309
183.2 IPS |
|
|
Object Detection (HP)
|
97% |
3714
295.7 IPS |
|
|
Object Detection (Q)
|
94% |
2626
209.3 IPS |
|
|
Face Detection (SP)
|
100% |
3598
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
6984
83.0 IPS |
|
|
Face Detection (Q)
|
100% |
4071
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8212
63.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13773
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9722
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22595
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37951
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30932
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5573
205.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7150
264.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5154
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
3690
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6149
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6099
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4039
69.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7484
129.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7483
129.3 IPS |
