iPhone 16 Pro Max
Geekbench AI Score
6091
Single Precision Score
7074
Half Precision Score
6603
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RAMFlux |
| Upload Date | April 01 2025 10:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2918
542.7 IPS |
|
|
Image Classification (HP)
|
100% |
3050
567.1 IPS |
|
|
Image Classification (Q)
|
96% |
3047
568.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4383
71.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4868
78.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4702
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15433
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16280
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
15869
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
3327
263.9 IPS |
|
|
Object Detection (HP)
|
100% |
3666
290.8 IPS |
|
|
Object Detection (Q)
|
92% |
3099
247.4 IPS |
|
|
Face Detection (SP)
|
100% |
7486
88.9 IPS |
|
|
Face Detection (HP)
|
100% |
10592
125.9 IPS |
|
|
Face Detection (Q)
|
100% |
8155
96.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13556
104.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14309
110.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
13296
104.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32640
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37466
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
37625
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7953
293.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8413
310.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7519
277.7 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5847
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5824
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1253
21.6 IPS |
