iPhone 16 Pro Max - 2025_0515 iPhone 16 Pro Max
Geekbench AI Score
6103
Single Precision Score
7102
Half Precision Score
6757
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Barritz |
| Upload Date | May 16 2025 02:56 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3034
564.3 IPS |
|
|
Image Classification (HP)
|
100% |
3048
566.8 IPS |
|
|
Image Classification (Q)
|
96% |
3149
588.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4437
71.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4896
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4746
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15513
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16872
19.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16826
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
3166
251.1 IPS |
|
|
Object Detection (HP)
|
100% |
3442
273.1 IPS |
|
|
Object Detection (Q)
|
92% |
3092
246.8 IPS |
|
|
Face Detection (SP)
|
100% |
7632
90.7 IPS |
|
|
Face Detection (HP)
|
100% |
10678
126.9 IPS |
|
|
Face Detection (Q)
|
100% |
8427
100.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13467
103.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14830
114.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
13913
108.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32712
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38433
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38807
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8050
297.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8270
305.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7619
281.3 IPS |
|
|
Text Classification (SP)
|
100% |
3374
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5882
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5833
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1189
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1273
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1262
21.8 IPS |
