iPhone 16 Pro Max
Geekbench AI Score
4683
Single Precision Score
7873
Half Precision Score
6267
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | DamijanS |
| Upload Date | March 11 2025 06:09 PM |
| Views | 7 |
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% |
2065
383.9 IPS |
|
|
Image Classification (HP)
|
100% |
3384
629.3 IPS |
|
|
Image Classification (Q)
|
96% |
2267
423.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2887
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3339
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9868
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19244
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16206
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2361
187.2 IPS |
|
|
Object Detection (HP)
|
97% |
3784
301.2 IPS |
|
|
Object Detection (Q)
|
94% |
2656
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
3889
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
7516
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
4226
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8326
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14479
111.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10056
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21387
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38096
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31308
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5720
211.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7308
269.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5082
187.6 IPS |
|
|
Text Classification (SP)
|
100% |
3311
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
5803
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5780
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4106
70.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7323
126.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7342
126.9 IPS |
