iPhone 16 Pro Max
Geekbench AI Score
3776
Single Precision Score
6961
Half Precision Score
5301
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iPhone16M2 |
| Upload Date | February 02 2025 07:03 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1958
364.2 IPS |
|
|
Image Classification (HP)
|
100% |
3363
625.3 IPS |
|
|
Image Classification (Q)
|
96% |
2258
421.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2800
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3094
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7599
8.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
15762
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
8671
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1905
151.1 IPS |
|
|
Object Detection (HP)
|
97% |
3420
272.3 IPS |
|
|
Object Detection (Q)
|
94% |
2345
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
3150
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
5820
69.1 IPS |
|
|
Face Detection (Q)
|
100% |
3695
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6627
51.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
12129
93.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8423
65.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19787
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31744
40.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26054
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2632
97.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6836
252.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4227
156.1 IPS |
|
|
Text Classification (SP)
|
100% |
3139
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
5342
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5791
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3332
57.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6434
111.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6222
107.5 IPS |
