iPhone 16 Pro Max
Geekbench AI Score
5714
Single Precision Score
6708
Half Precision Score
6031
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Devon25836 |
| Upload Date | December 12 2024 04:24 AM |
| Views | 7 |
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% |
2983
554.7 IPS |
|
|
Image Classification (HP)
|
100% |
2421
450.3 IPS |
|
|
Image Classification (Q)
|
97% |
2798
522.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3342
54.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4410
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4387
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15704
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16524
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15589
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3176
251.9 IPS |
|
|
Object Detection (HP)
|
100% |
3514
278.7 IPS |
|
|
Object Detection (Q)
|
91% |
2851
227.8 IPS |
|
|
Face Detection (SP)
|
100% |
7537
89.6 IPS |
|
|
Face Detection (HP)
|
100% |
10651
126.6 IPS |
|
|
Face Detection (Q)
|
100% |
7097
84.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13359
102.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14896
114.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12557
98.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32971
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39401
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
35763
46.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8058
297.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8279
305.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6811
251.5 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5892
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5855
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
817
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
977
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
919
15.9 IPS |
