iPhone 16 Pro Max
Geekbench AI Score
4517
Single Precision Score
7680
Half Precision Score
6074
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | bmol |
| Upload Date | April 02 2025 01:58 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
3353
623.5 IPS |
|
|
Image Classification (Q)
|
96% |
2258
421.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2825
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3319
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8685
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17193
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14609
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2292
181.8 IPS |
|
|
Object Detection (HP)
|
97% |
3780
300.9 IPS |
|
|
Object Detection (Q)
|
94% |
2606
207.7 IPS |
|
|
Face Detection (SP)
|
100% |
3828
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
7365
87.5 IPS |
|
|
Face Detection (Q)
|
100% |
4042
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7870
60.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13845
107.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9442
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19515
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36810
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29785
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5207
192.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7207
266.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5075
187.4 IPS |
|
|
Text Classification (SP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
6010
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5833
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4187
72.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7135
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7120
123.0 IPS |
