iPhone 16 Pro Max
Geekbench AI Score
4606
Single Precision Score
33257
Half Precision Score
44803
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | bulmasen |
| Upload Date | October 06 2025 08:45 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1997
371.4 IPS |
|
|
Image Classification (HP)
|
100% |
14092
2.62 KIPS |
|
|
Image Classification (Q)
|
97% |
18576
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1771
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18149
294.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23686
384.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9329
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
152268
177.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
289967
339.9 IPS |
|
|
Object Detection (SP)
|
100% |
2357
186.9 IPS |
|
|
Object Detection (HP)
|
100% |
16007
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21303
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3630
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
39501
469.4 IPS |
|
|
Face Detection (Q)
|
100% |
52948
629.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8210
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94262
726.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
154522
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
22007
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244945
314.9 IPS |
|
|
Style Transfer (Q)
|
96% |
297846
384.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5462
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51400
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78498
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3723
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6216
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6154
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4144
71.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9113
157.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10186
176.0 IPS |
