iPhone 16 Pro Max
Geekbench AI Score
4619
Single Precision Score
7867
Half Precision Score
6256
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Oleksandr |
| Upload Date | May 13 2025 01:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
3406
633.4 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1965
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2864
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3332
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9294
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18476
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15712
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2318
183.9 IPS |
|
|
Object Detection (HP)
|
97% |
3813
303.6 IPS |
|
|
Object Detection (Q)
|
94% |
2642
210.6 IPS |
|
|
Face Detection (SP)
|
100% |
3819
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
7445
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
4200
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8098
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14303
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9968
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20369
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37830
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31036
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5538
204.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7320
270.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5199
192.0 IPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
6011
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5859
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4267
73.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7459
128.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7391
127.7 IPS |
