iPhone 16 Pro Max
Geekbench AI Score
4541
Single Precision Score
7690
Half Precision Score
6154
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 03 2025 01:19 AM |
| Views | 4 |
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% |
2067
384.3 IPS |
|
|
Image Classification (HP)
|
100% |
3391
630.7 IPS |
|
|
Image Classification (Q)
|
96% |
2275
424.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1974
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2823
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3323
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8868
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17558
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14594
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2287
181.4 IPS |
|
|
Object Detection (HP)
|
97% |
3714
295.7 IPS |
|
|
Object Detection (Q)
|
94% |
2618
208.7 IPS |
|
|
Face Detection (SP)
|
100% |
3823
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
7381
87.7 IPS |
|
|
Face Detection (Q)
|
100% |
4107
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7966
61.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13705
105.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9679
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19828
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37063
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30138
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5263
194.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7247
267.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5132
189.5 IPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5911
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
6044
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4189
72.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7223
124.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7259
125.4 IPS |
