iPhone 16 Pro Max
Geekbench AI Score
4412
Single Precision Score
7576
Half Precision Score
6055
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 10:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1990
370.0 IPS |
|
|
Image Classification (HP)
|
100% |
3374
627.5 IPS |
|
|
Image Classification (Q)
|
96% |
2266
423.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2922
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3346
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8664
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17206
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14960
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2086
165.4 IPS |
|
|
Object Detection (HP)
|
97% |
3765
299.7 IPS |
|
|
Object Detection (Q)
|
94% |
2633
209.8 IPS |
|
|
Face Detection (SP)
|
100% |
3453
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
7214
85.7 IPS |
|
|
Face Detection (Q)
|
100% |
4101
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7466
57.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13671
105.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9429
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22948
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36121
46.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29602
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5346
197.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6787
250.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4798
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5878
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5868
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3721
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6868
118.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6883
118.9 IPS |
