iPhone 16 Pro Max
Geekbench AI Score
4573
Single Precision Score
7798
Half Precision Score
6179
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Testify |
| Upload Date | August 30 2025 11:47 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2076
386.1 IPS |
|
|
Image Classification (HP)
|
100% |
3375
627.7 IPS |
|
|
Image Classification (Q)
|
96% |
2275
424.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2841
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3330
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9114
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18190
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15219
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2325
184.5 IPS |
|
|
Object Detection (HP)
|
97% |
3794
302.0 IPS |
|
|
Object Detection (Q)
|
94% |
2612
208.2 IPS |
|
|
Face Detection (SP)
|
100% |
3857
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
7394
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
4090
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8101
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14257
110.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9714
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19767
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36792
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30233
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5251
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7296
269.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5195
191.8 IPS |
|
|
Text Classification (SP)
|
100% |
3392
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5950
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5924
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4204
72.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7466
129.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7292
126.0 IPS |
