iPhone 16 Pro Max
Geekbench AI Score
5768
Single Precision Score
6731
Half Precision Score
5932
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 31 2024 01:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2938
546.4 IPS |
|
|
Image Classification (HP)
|
100% |
2823
524.9 IPS |
|
|
Image Classification (Q)
|
97% |
2803
523.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3370
54.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4387
71.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4341
70.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15527
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16429
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15443
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3148
249.7 IPS |
|
|
Object Detection (HP)
|
100% |
3430
272.1 IPS |
|
|
Object Detection (Q)
|
91% |
2808
224.4 IPS |
|
|
Face Detection (SP)
|
100% |
7747
92.1 IPS |
|
|
Face Detection (HP)
|
100% |
10624
126.2 IPS |
|
|
Face Detection (Q)
|
100% |
7118
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13365
103.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14252
109.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12450
97.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32978
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39290
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
35842
46.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8001
295.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8397
310.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6820
251.8 IPS |
|
|
Text Classification (SP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5864
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5823
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
905
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
811
14.0 IPS |
