iPhone 16 Pro Max
Geekbench AI Score
4272
Single Precision Score
7495
Half Precision Score
5961
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 12:12 AM |
| Views | 3 |
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% |
1719
319.6 IPS |
|
|
Image Classification (HP)
|
100% |
3207
596.4 IPS |
|
|
Image Classification (Q)
|
96% |
2170
405.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2832
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3216
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7898
9.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
16695
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14205
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2047
162.4 IPS |
|
|
Object Detection (HP)
|
97% |
3737
297.5 IPS |
|
|
Object Detection (Q)
|
94% |
2579
205.5 IPS |
|
|
Face Detection (SP)
|
100% |
3426
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
7232
85.9 IPS |
|
|
Face Detection (Q)
|
100% |
4035
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7313
56.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13534
104.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9434
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22954
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36102
46.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29554
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5377
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6842
252.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4872
179.9 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5873
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5839
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3788
65.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6953
120.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6931
119.8 IPS |
