iPhone 16 Pro Max
Geekbench AI Score
4519
Single Precision Score
7593
Half Precision Score
6108
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | RobertRgs |
| Upload Date | March 08 2026 05:46 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1987
369.5 IPS |
|
|
Image Classification (HP)
|
100% |
3445
640.7 IPS |
|
|
Image Classification (Q)
|
96% |
2318
433.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2798
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3261
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8980
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17393
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14905
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2292
181.8 IPS |
|
|
Object Detection (HP)
|
97% |
3677
292.7 IPS |
|
|
Object Detection (Q)
|
94% |
2619
208.7 IPS |
|
|
Face Detection (SP)
|
100% |
3498
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
6790
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
4010
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8068
62.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13709
106.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9476
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22031
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36186
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29411
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5429
200.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7074
261.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5107
188.6 IPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6119
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6121
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3986
68.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7088
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7019
121.3 IPS |
