iPhone 16 Pro Max
Geekbench AI Score
4530
Single Precision Score
7711
Half Precision Score
6126
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 07:43 AM |
| Views | 1 |
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% |
2055
382.2 IPS |
|
|
Image Classification (HP)
|
100% |
3383
629.1 IPS |
|
|
Image Classification (Q)
|
96% |
2286
427.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1980
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2835
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3260
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8872
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17490
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14850
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2289
181.6 IPS |
|
|
Object Detection (HP)
|
97% |
3769
300.1 IPS |
|
|
Object Detection (Q)
|
94% |
2621
208.9 IPS |
|
|
Face Detection (SP)
|
100% |
3814
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
7405
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
4084
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7879
60.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13574
104.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9485
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19772
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36483
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29995
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5198
191.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7268
268.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5044
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
6073
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5890
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4226
72.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7264
125.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7440
128.6 IPS |
