iPhone 16 Pro Max
Geekbench AI Score
6122
Single Precision Score
7044
Half Precision Score
6731
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 16 2025 10:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2852
530.3 IPS |
|
|
Image Classification (HP)
|
100% |
2795
519.8 IPS |
|
|
Image Classification (Q)
|
96% |
3148
587.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4453
72.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4930
79.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4782
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15635
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16435
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
15944
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3280
260.2 IPS |
|
|
Object Detection (HP)
|
100% |
3506
278.1 IPS |
|
|
Object Detection (Q)
|
92% |
3221
257.1 IPS |
|
|
Face Detection (SP)
|
100% |
7734
91.9 IPS |
|
|
Face Detection (HP)
|
100% |
10859
129.0 IPS |
|
|
Face Detection (Q)
|
100% |
8555
101.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13552
104.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14532
112.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
13917
108.8 IPS |
|
|
Style Transfer (SP)
|
100% |
33110
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37899
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
37569
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8063
297.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8400
310.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7557
279.0 IPS |
|
|
Text Classification (SP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5938
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5863
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1247
21.6 IPS |
