iPhone 16 Pro Max
Geekbench AI Score
4170
Single Precision Score
7366
Half Precision Score
5859
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 09:25 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% |
1841
342.3 IPS |
|
|
Image Classification (HP)
|
100% |
3240
602.5 IPS |
|
|
Image Classification (Q)
|
96% |
2205
411.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1726
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2802
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3171
51.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7581
8.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
15856
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13811
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1958
155.3 IPS |
|
|
Object Detection (HP)
|
97% |
3642
290.0 IPS |
|
|
Object Detection (Q)
|
94% |
2525
201.2 IPS |
|
|
Face Detection (SP)
|
100% |
3289
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
6990
83.1 IPS |
|
|
Face Detection (Q)
|
100% |
3938
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7107
54.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13390
103.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9159
71.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22367
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35536
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28943
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5091
188.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6746
249.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4727
174.5 IPS |
|
|
Text Classification (SP)
|
100% |
3409
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5846
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5798
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3721
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6847
118.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6838
118.2 IPS |
