iPhone 16 Pro Max
Geekbench AI Score
4341
Single Precision Score
7526
Half Precision Score
6039
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 09:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1973
366.9 IPS |
|
|
Image Classification (HP)
|
100% |
3356
624.2 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1899
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2905
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3354
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8359
9.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
17270
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14639
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1978
156.9 IPS |
|
|
Object Detection (HP)
|
97% |
3735
297.4 IPS |
|
|
Object Detection (Q)
|
94% |
2635
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
3430
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
7195
85.5 IPS |
|
|
Face Detection (Q)
|
100% |
4089
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7459
57.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13653
105.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9487
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22701
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35412
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29366
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5239
193.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6639
245.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4726
174.5 IPS |
|
|
Text Classification (SP)
|
100% |
3438
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5918
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5979
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3668
63.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6787
117.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6805
117.6 IPS |
