iPhone 16 Pro Max
Geekbench AI Score
4443
Single Precision Score
7572
Half Precision Score
5962
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 24 2025 08:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
3364
625.7 IPS |
|
|
Image Classification (Q)
|
96% |
2274
424.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2846
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3222
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8721
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16993
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14497
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2257
179.0 IPS |
|
|
Object Detection (HP)
|
97% |
3682
293.2 IPS |
|
|
Object Detection (Q)
|
94% |
2578
205.5 IPS |
|
|
Face Detection (SP)
|
100% |
3716
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
7170
85.2 IPS |
|
|
Face Detection (Q)
|
100% |
3961
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7691
59.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13381
103.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9188
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18932
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35382
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29143
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5038
186.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7222
266.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4993
184.4 IPS |
|
|
Text Classification (SP)
|
100% |
3358
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5870
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5828
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4139
71.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7189
124.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6724
116.2 IPS |
