iPhone 16 Pro Max
Geekbench AI Score
4529
Single Precision Score
7681
Half Precision Score
6139
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | anbG34 |
| Upload Date | May 19 2025 11:27 AM |
| Views | 8 |
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% |
2068
384.6 IPS |
|
|
Image Classification (HP)
|
100% |
3401
632.5 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1971
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2818
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3332
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8936
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17549
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14991
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2298
182.3 IPS |
|
|
Object Detection (HP)
|
97% |
3760
299.4 IPS |
|
|
Object Detection (Q)
|
94% |
2614
208.4 IPS |
|
|
Face Detection (SP)
|
100% |
3818
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
7385
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4065
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7957
61.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13865
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9618
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19733
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36655
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30106
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5108
188.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7041
260.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5056
186.7 IPS |
|
|
Text Classification (SP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
6008
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5941
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4211
72.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7127
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7233
125.0 IPS |
