iPhone 16 Pro Max
Geekbench AI Score
4518
Single Precision Score
7675
Half Precision Score
6177
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | rothomp3 |
| Upload Date | August 19 2025 02:46 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1979
368.0 IPS |
|
|
Image Classification (HP)
|
100% |
3492
649.5 IPS |
|
|
Image Classification (Q)
|
96% |
2330
435.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1742
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2757
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3299
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9124
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17964
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15079
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2316
183.7 IPS |
|
|
Object Detection (HP)
|
97% |
3692
293.9 IPS |
|
|
Object Detection (Q)
|
94% |
2608
207.9 IPS |
|
|
Face Detection (SP)
|
100% |
3559
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6909
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
4024
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7987
61.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13644
105.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9491
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21270
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37340
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30677
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5406
199.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7166
264.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5075
187.4 IPS |
|
|
Text Classification (SP)
|
100% |
3729
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6159
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6101
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3993
68.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7152
123.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7375
127.4 IPS |
