iPhone 16 Pro Max
Geekbench AI Score
4537
Single Precision Score
7741
Half Precision Score
6127
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cheeys8900 |
| Upload Date | April 20 2025 09:34 AM |
| Views | 12 |
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% |
2085
387.8 IPS |
|
|
Image Classification (HP)
|
100% |
3429
637.6 IPS |
|
|
Image Classification (Q)
|
96% |
2282
426.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2873
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3327
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8955
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17864
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15082
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2279
180.8 IPS |
|
|
Object Detection (HP)
|
97% |
3736
297.4 IPS |
|
|
Object Detection (Q)
|
94% |
2624
209.2 IPS |
|
|
Face Detection (SP)
|
100% |
3817
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
7334
87.1 IPS |
|
|
Face Detection (Q)
|
100% |
4055
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8023
61.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13792
106.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9572
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19659
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36636
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29901
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5174
191.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7321
270.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5134
189.6 IPS |
|
|
Text Classification (SP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
6033
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5831
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4205
72.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7184
124.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7150
123.6 IPS |
