iPhone 16 Pro Max
Geekbench AI Score
4559
Single Precision Score
7707
Half Precision Score
6175
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 28 2025 10:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1978
367.9 IPS |
|
|
Image Classification (HP)
|
100% |
3444
640.4 IPS |
|
|
Image Classification (Q)
|
96% |
2316
432.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2791
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3264
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9087
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18246
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15208
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2325
184.4 IPS |
|
|
Object Detection (HP)
|
97% |
3693
294.0 IPS |
|
|
Object Detection (Q)
|
94% |
2632
209.8 IPS |
|
|
Face Detection (SP)
|
100% |
3641
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
6936
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
4047
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8132
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13671
105.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9612
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21679
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37261
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30263
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5505
203.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7120
262.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5115
188.9 IPS |
|
|
Text Classification (SP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6167
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6079
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4086
70.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7364
127.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7282
125.8 IPS |
