iPhone 16 Pro Max
Geekbench AI Score
4164
Single Precision Score
7271
Half Precision Score
5791
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 09:31 AM |
| 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% |
1891
351.6 IPS |
|
|
Image Classification (HP)
|
100% |
3330
619.3 IPS |
|
|
Image Classification (Q)
|
96% |
2243
418.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1886
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2793
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3188
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7624
8.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
16589
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14401
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1948
154.5 IPS |
|
|
Object Detection (HP)
|
97% |
3525
280.6 IPS |
|
|
Object Detection (Q)
|
94% |
2446
195.0 IPS |
|
|
Face Detection (SP)
|
100% |
3319
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
7051
83.8 IPS |
|
|
Face Detection (Q)
|
100% |
3778
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6968
53.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13026
100.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9067
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22393
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34710
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29067
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4963
183.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6515
240.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4654
171.8 IPS |
|
|
Text Classification (SP)
|
100% |
3444
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5897
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5890
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3350
57.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6201
107.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6170
106.6 IPS |
