iPhone 16 Pro Max
Geekbench AI Score
5798
Single Precision Score
6814
Half Precision Score
6126
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 08 2025 03:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
3029
563.3 IPS |
|
|
Image Classification (HP)
|
100% |
2782
517.3 IPS |
|
|
Image Classification (Q)
|
97% |
2935
547.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3434
55.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4502
73.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4458
72.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15846
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16546
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15635
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3247
257.5 IPS |
|
|
Object Detection (HP)
|
100% |
3554
281.9 IPS |
|
|
Object Detection (Q)
|
91% |
2947
235.5 IPS |
|
|
Face Detection (SP)
|
100% |
7707
91.6 IPS |
|
|
Face Detection (HP)
|
100% |
10924
129.8 IPS |
|
|
Face Detection (Q)
|
100% |
7269
86.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13494
104.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14600
112.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12802
100.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33366
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37727
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
35712
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7941
293.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8556
315.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6903
254.9 IPS |
|
|
Text Classification (SP)
|
100% |
3472
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
6008
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5973
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
839
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
902
15.6 IPS |
