iPhone 16 Pro Max
Geekbench AI Score
4470
Single Precision Score
7654
Half Precision Score
6144
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 07 2025 10:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2066
384.2 IPS |
|
|
Image Classification (HP)
|
100% |
3414
634.8 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2853
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3334
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8948
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17649
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15023
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2283
181.1 IPS |
|
|
Object Detection (HP)
|
97% |
3765
299.7 IPS |
|
|
Object Detection (Q)
|
94% |
2634
209.9 IPS |
|
|
Face Detection (SP)
|
100% |
3409
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
6867
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
4048
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7899
60.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13907
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9605
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19342
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36473
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29793
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5164
190.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7195
265.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5143
189.9 IPS |
|
|
Text Classification (SP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5857
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5886
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4215
72.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7265
125.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7284
125.9 IPS |
