iPhone 16 Pro Max
Geekbench AI Score
4471
Single Precision Score
7662
Half Precision Score
6105
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 08:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2001
372.1 IPS |
|
|
Image Classification (HP)
|
100% |
3377
628.1 IPS |
|
|
Image Classification (Q)
|
96% |
2275
424.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1944
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2926
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3377
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8707
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17771
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15162
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2137
169.5 IPS |
|
|
Object Detection (HP)
|
97% |
3765
299.8 IPS |
|
|
Object Detection (Q)
|
94% |
2595
206.8 IPS |
|
|
Face Detection (SP)
|
100% |
3566
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
7372
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
4177
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7532
58.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13774
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9539
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23472
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36932
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30071
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5426
200.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6877
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4925
181.9 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5859
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5815
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3772
65.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6981
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6942
120.0 IPS |
