iPhone 16 Pro Max
Geekbench AI Score
5822
Single Precision Score
6608
Half Precision Score
6246
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 07 2025 11:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2962
550.9 IPS |
|
|
Image Classification (HP)
|
100% |
1963
365.0 IPS |
|
|
Image Classification (Q)
|
97% |
2887
538.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3382
54.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4429
71.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4402
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15807
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16492
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15732
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3226
255.9 IPS |
|
|
Object Detection (HP)
|
100% |
3518
279.1 IPS |
|
|
Object Detection (Q)
|
91% |
3137
250.6 IPS |
|
|
Face Detection (SP)
|
100% |
8089
96.1 IPS |
|
|
Face Detection (HP)
|
100% |
11064
131.5 IPS |
|
|
Face Detection (Q)
|
100% |
7773
92.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14057
108.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15354
118.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
13240
103.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32602
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38194
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
37106
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8075
298.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8342
308.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6846
252.8 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5934
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5812
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
949
16.4 IPS |
