iPhone 16 Pro Max
Geekbench AI Score
4715
Single Precision Score
7932
Half Precision Score
6322
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Hgors |
| Upload Date | May 02 2025 12:53 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2052
381.6 IPS |
|
|
Image Classification (HP)
|
100% |
3419
635.8 IPS |
|
|
Image Classification (Q)
|
96% |
2286
426.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2005
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2889
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3346
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9777
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18970
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16094
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2376
188.5 IPS |
|
|
Object Detection (HP)
|
97% |
3840
305.7 IPS |
|
|
Object Detection (Q)
|
94% |
2684
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
3935
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
7588
90.2 IPS |
|
|
Face Detection (Q)
|
100% |
4264
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8376
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14578
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10110
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21000
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38180
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31406
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5719
211.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7378
272.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5201
192.1 IPS |
|
|
Text Classification (SP)
|
100% |
3375
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5887
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5921
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4258
73.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7475
129.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7405
128.0 IPS |
