iPhone 16 Pro Max
Geekbench AI Score
4599
Single Precision Score
7838
Half Precision Score
6235
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 12:05 AM |
| Views | 2 |
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% |
2060
383.0 IPS |
|
|
Image Classification (HP)
|
100% |
3421
636.2 IPS |
|
|
Image Classification (Q)
|
96% |
2290
427.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1989
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2884
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3345
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9221
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18396
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15538
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2324
184.3 IPS |
|
|
Object Detection (HP)
|
97% |
3811
303.4 IPS |
|
|
Object Detection (Q)
|
94% |
2639
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
3916
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
7428
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
4155
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8076
62.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14287
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9884
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20007
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37279
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30557
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5325
196.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7322
270.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5131
189.5 IPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5890
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
6026
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4232
72.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7424
128.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7292
126.0 IPS |
