iPhone 16 Pro Max
Geekbench AI Score
4530
Single Precision Score
7710
Half Precision Score
6109
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 14 2025 06:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
3418
635.6 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2859
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3340
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9084
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17920
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14913
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2288
181.5 IPS |
|
|
Object Detection (HP)
|
97% |
3760
299.3 IPS |
|
|
Object Detection (Q)
|
94% |
2598
207.1 IPS |
|
|
Face Detection (SP)
|
100% |
3807
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
7235
86.0 IPS |
|
|
Face Detection (Q)
|
100% |
4071
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7856
60.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13715
106.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9530
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19246
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36371
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29613
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5231
193.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7277
268.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5073
187.3 IPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5866
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5826
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4187
72.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7326
126.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7260
125.5 IPS |
