iPhone 16 Pro Max
Geekbench AI Score
4566
Single Precision Score
7770
Half Precision Score
6179
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 01:02 PM |
| Views | 1 |
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% |
2074
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
3393
630.9 IPS |
|
|
Image Classification (Q)
|
96% |
2283
426.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2853
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3322
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9097
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17803
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15063
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2291
181.8 IPS |
|
|
Object Detection (HP)
|
97% |
3758
299.2 IPS |
|
|
Object Detection (Q)
|
94% |
2636
210.1 IPS |
|
|
Face Detection (SP)
|
100% |
3825
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
7456
88.6 IPS |
|
|
Face Detection (Q)
|
100% |
4167
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8096
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14244
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9711
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19934
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37465
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30267
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5282
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7243
267.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5117
189.0 IPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5874
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5870
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4200
72.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7317
126.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7326
126.6 IPS |
