iPhone 16 Pro Max
Geekbench AI Score
4445
Single Precision Score
7533
Half Precision Score
6013
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | July 01 2025 04:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1995
371.1 IPS |
|
|
Image Classification (HP)
|
100% |
3445
640.7 IPS |
|
|
Image Classification (Q)
|
96% |
2335
436.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1757
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2789
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3247
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8821
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17313
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14789
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2270
180.1 IPS |
|
|
Object Detection (HP)
|
97% |
3619
288.1 IPS |
|
|
Object Detection (Q)
|
94% |
2604
207.5 IPS |
|
|
Face Detection (SP)
|
100% |
3570
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
6834
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
3898
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7775
59.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13095
101.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9154
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20540
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36132
46.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28687
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5296
195.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7166
264.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4968
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3612
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
5893
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5841
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3941
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7163
123.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7131
123.2 IPS |
