iPhone 16 Pro Max
Geekbench AI Score
3651
Single Precision Score
27296
Half Precision Score
36771
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ebarrera |
| Upload Date | October 01 2025 10:38 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1637
304.4 IPS |
|
|
Image Classification (HP)
|
100% |
13016
2.42 KIPS |
|
|
Image Classification (Q)
|
97% |
16901
3.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14888
241.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21246
344.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8088
9.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
98191
114.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
186661
218.8 IPS |
|
|
Object Detection (SP)
|
100% |
1963
155.7 IPS |
|
|
Object Detection (HP)
|
100% |
14102
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
17255
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
2405
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
29336
348.6 IPS |
|
|
Face Detection (Q)
|
100% |
41623
494.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6800
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
81499
627.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
130411
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
19147
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
200776
258.1 IPS |
|
|
Style Transfer (Q)
|
96% |
218127
281.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4775
176.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39440
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
66002
2.44 KIPS |
|
|
Text Classification (SP)
|
100% |
3102
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
5315
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5243
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2311
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8505
146.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9537
164.8 IPS |
