iPhone 16 Pro Max
Geekbench AI Score
5759
Single Precision Score
6767
Half Precision Score
5986
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | darios |
| Upload Date | December 22 2024 09:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3015
560.7 IPS |
|
|
Image Classification (HP)
|
100% |
2800
520.6 IPS |
|
|
Image Classification (Q)
|
97% |
2835
529.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3264
52.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4430
71.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4409
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15607
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16257
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15484
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3137
248.8 IPS |
|
|
Object Detection (HP)
|
100% |
3690
292.7 IPS |
|
|
Object Detection (Q)
|
91% |
2843
227.2 IPS |
|
|
Face Detection (SP)
|
100% |
7817
92.9 IPS |
|
|
Face Detection (HP)
|
100% |
10763
127.9 IPS |
|
|
Face Detection (Q)
|
100% |
7117
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13318
102.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14454
111.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
12552
98.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32711
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39400
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
35383
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7957
293.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8449
312.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6751
249.3 IPS |
|
|
Text Classification (SP)
|
100% |
3407
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5909
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5815
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
903
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (Q)
|
98% |
866
15.0 IPS |
