iPhone 16 Pro Max
Geekbench AI Score
4336
Single Precision Score
7515
Half Precision Score
5976
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 29 2025 11:05 AM |
| Views | 2 |
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% |
1985
369.2 IPS |
|
|
Image Classification (HP)
|
100% |
3364
625.7 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1936
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2879
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3339
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8226
9.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
16861
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14320
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2020
160.2 IPS |
|
|
Object Detection (HP)
|
97% |
3771
300.2 IPS |
|
|
Object Detection (Q)
|
94% |
2610
208.1 IPS |
|
|
Face Detection (SP)
|
100% |
3416
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
7131
84.7 IPS |
|
|
Face Detection (Q)
|
100% |
3955
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7244
55.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13177
101.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9202
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22286
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35675
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29120
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5180
191.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6871
253.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4778
176.4 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5869
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5819
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3779
65.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6909
119.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6944
120.0 IPS |
