iPhone 16 Pro Max
Geekbench AI Score
4515
Single Precision Score
7696
Half Precision Score
6168
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | coorelle |
| Upload Date | March 15 2025 03:50 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
2005
372.9 IPS |
|
|
Image Classification (HP)
|
100% |
3328
618.9 IPS |
|
|
Image Classification (Q)
|
96% |
2290
427.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1936
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2920
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3368
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8825
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18083
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15350
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2145
170.2 IPS |
|
|
Object Detection (HP)
|
97% |
3778
300.8 IPS |
|
|
Object Detection (Q)
|
94% |
2655
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
3571
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
7412
88.1 IPS |
|
|
Face Detection (Q)
|
100% |
4203
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7664
59.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14081
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9774
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24060
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37229
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30587
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5614
207.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6880
254.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4949
182.7 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5842
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5815
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3788
65.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7032
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7018
121.3 IPS |
