iPhone 16 Pro Max
Geekbench AI Score
4481
Single Precision Score
7685
Half Precision Score
6134
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | maalshehri |
| Upload Date | April 03 2025 07:35 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
2002
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
3407
633.5 IPS |
|
|
Image Classification (Q)
|
96% |
2286
426.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1928
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2882
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3363
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8813
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17801
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15066
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2126
168.7 IPS |
|
|
Object Detection (HP)
|
97% |
3744
298.1 IPS |
|
|
Object Detection (Q)
|
94% |
2646
210.9 IPS |
|
|
Face Detection (SP)
|
100% |
3553
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
7410
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
4171
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7541
58.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14085
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9620
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23758
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36863
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30505
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5499
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6931
255.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4923
181.8 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5837
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5870
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3781
65.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7059
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6958
120.2 IPS |
