iPhone 16 Pro Max
Geekbench AI Score
4225
Single Precision Score
7352
Half Precision Score
5822
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Tonyiphone4 |
| Upload Date | June 13 2025 09:34 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1930
359.0 IPS |
|
|
Image Classification (HP)
|
100% |
3439
639.5 IPS |
|
|
Image Classification (Q)
|
96% |
2302
429.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1713
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2738
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3114
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8094
9.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
16194
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13797
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
2225
176.5 IPS |
|
|
Object Detection (HP)
|
97% |
3542
282.0 IPS |
|
|
Object Detection (Q)
|
94% |
2527
201.4 IPS |
|
|
Face Detection (SP)
|
100% |
3376
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
6454
76.7 IPS |
|
|
Face Detection (Q)
|
100% |
3755
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7500
57.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13069
101.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8861
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18207
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33495
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27428
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4976
183.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7093
261.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4870
179.8 IPS |
|
|
Text Classification (SP)
|
100% |
3366
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
6047
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5819
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3951
68.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7056
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6924
119.7 IPS |
