iPhone 16 Pro Max
Geekbench AI Score
5742
Single Precision Score
6790
Half Precision Score
6125
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dgbrownnt |
| Upload Date | February 04 2025 07:43 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3031
563.7 IPS |
|
|
Image Classification (HP)
|
100% |
2935
545.9 IPS |
|
|
Image Classification (Q)
|
97% |
2822
526.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3294
53.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4426
71.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4405
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15669
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16530
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15573
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3150
249.9 IPS |
|
|
Object Detection (HP)
|
100% |
3502
277.8 IPS |
|
|
Object Detection (Q)
|
91% |
2849
227.7 IPS |
|
|
Face Detection (SP)
|
100% |
7858
93.4 IPS |
|
|
Face Detection (HP)
|
100% |
10690
127.0 IPS |
|
|
Face Detection (Q)
|
100% |
7146
84.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13546
104.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14448
111.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12028
94.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33008
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39409
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
35523
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8019
296.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8474
312.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6757
249.5 IPS |
|
|
Text Classification (SP)
|
100% |
3439
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5883
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5840
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
816
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
913
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1119
19.3 IPS |
