iPhone 16 Pro Max
Geekbench AI Score
4510
Single Precision Score
7692
Half Precision Score
6126
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | deryk527 |
| Upload Date | March 30 2025 03:55 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2037
378.9 IPS |
|
|
Image Classification (HP)
|
100% |
3385
629.4 IPS |
|
|
Image Classification (Q)
|
96% |
2282
426.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2915
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3296
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8711
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17483
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14560
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2264
179.6 IPS |
|
|
Object Detection (HP)
|
97% |
3559
283.4 IPS |
|
|
Object Detection (Q)
|
94% |
2600
207.2 IPS |
|
|
Face Detection (SP)
|
100% |
3834
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
7384
87.7 IPS |
|
|
Face Detection (Q)
|
100% |
4093
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7931
61.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13753
106.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9596
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19710
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37168
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30006
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5220
192.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7270
268.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5148
190.1 IPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5898
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5871
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4203
72.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7299
126.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7345
126.9 IPS |
