iPhone 16 Pro Max
Geekbench AI Score
5825
Single Precision Score
6793
Half Precision Score
6159
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 07 2025 11:42 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% |
2945
547.6 IPS |
|
|
Image Classification (HP)
|
100% |
2599
483.4 IPS |
|
|
Image Classification (Q)
|
97% |
2858
533.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3441
55.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4436
71.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4422
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15802
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16495
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15801
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
3249
257.7 IPS |
|
|
Object Detection (HP)
|
100% |
3563
282.6 IPS |
|
|
Object Detection (Q)
|
91% |
2866
229.0 IPS |
|
|
Face Detection (SP)
|
100% |
7782
92.5 IPS |
|
|
Face Detection (HP)
|
100% |
11153
132.5 IPS |
|
|
Face Detection (Q)
|
100% |
7706
91.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14110
108.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15283
117.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12596
98.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32883
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38609
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
37508
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8049
297.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8384
309.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6809
251.4 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5852
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
6006
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
957
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
923
15.9 IPS |
