iPhone 16 Pro Max
Geekbench AI Score
4519
Single Precision Score
33547
Half Precision Score
45581
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Novecento |
| Upload Date | July 28 2025 07:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1993
370.6 IPS |
|
|
Image Classification (HP)
|
100% |
14116
2.63 KIPS |
|
|
Image Classification (Q)
|
97% |
18745
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1797
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18096
293.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23583
382.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8723
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
149222
174.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
282578
331.2 IPS |
|
|
Object Detection (SP)
|
100% |
2343
185.8 IPS |
|
|
Object Detection (HP)
|
100% |
15868
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21482
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3559
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
39230
466.1 IPS |
|
|
Face Detection (Q)
|
100% |
53053
630.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8052
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
93723
722.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
153037
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
21295
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244180
313.9 IPS |
|
|
Style Transfer (Q)
|
96% |
293308
378.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5310
196.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49764
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79372
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3733
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6150
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6143
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4020
69.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10864
187.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12426
214.7 IPS |
