iPhone 16 Pro Max
Geekbench AI Score
4472
Single Precision Score
7730
Half Precision Score
6154
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iGeneration |
| Upload Date | December 30 2024 11:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1970
366.3 IPS |
|
|
Image Classification (HP)
|
100% |
3365
625.7 IPS |
|
|
Image Classification (Q)
|
96% |
2281
425.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1933
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2938
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3344
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8683
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17953
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15391
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2098
166.4 IPS |
|
|
Object Detection (HP)
|
97% |
3767
299.9 IPS |
|
|
Object Detection (Q)
|
94% |
2653
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
3487
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
7352
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
4151
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7711
59.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14149
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9699
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23512
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37095
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30503
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5607
207.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6903
254.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4957
183.0 IPS |
|
|
Text Classification (SP)
|
100% |
3446
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
6064
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5870
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3781
65.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7055
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7003
121.0 IPS |
