iPhone 16 Pro Max
Geekbench AI Score
4531
Single Precision Score
7765
Half Precision Score
6141
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 14 2025 06:41 AM |
| Views | 2 |
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% |
2065
384.1 IPS |
|
|
Image Classification (HP)
|
100% |
3389
630.2 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2858
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3341
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9186
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17830
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15149
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2309
183.1 IPS |
|
|
Object Detection (HP)
|
97% |
3774
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2600
207.3 IPS |
|
|
Face Detection (SP)
|
100% |
3792
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
7377
87.7 IPS |
|
|
Face Detection (Q)
|
100% |
4110
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7922
61.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14068
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9574
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19637
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36770
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30091
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5204
192.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7318
270.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5062
186.9 IPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
6087
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5899
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4126
71.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7194
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7213
124.7 IPS |
