iPhone 16 Pro Max
Geekbench AI Score
5732
Single Precision Score
6787
Half Precision Score
5995
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | attibug |
| Upload Date | March 09 2025 12:25 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2946
547.8 IPS |
|
|
Image Classification (HP)
|
100% |
2955
549.5 IPS |
|
|
Image Classification (Q)
|
97% |
2906
542.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3399
55.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4417
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4389
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15711
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16326
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15612
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3172
251.6 IPS |
|
|
Object Detection (HP)
|
100% |
3687
292.4 IPS |
|
|
Object Detection (Q)
|
91% |
2851
227.8 IPS |
|
|
Face Detection (SP)
|
100% |
7576
90.0 IPS |
|
|
Face Detection (HP)
|
100% |
10679
126.9 IPS |
|
|
Face Detection (Q)
|
100% |
7094
84.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13363
103.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14365
110.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12712
99.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33124
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39471
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
35714
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8017
296.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8422
311.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6798
251.0 IPS |
|
|
Text Classification (SP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5874
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5848
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
882
15.2 IPS |
|
|
Machine Translation (Q)
|
98% |
825
14.3 IPS |
