iPhone 16 Pro Max
Geekbench AI Score
5759
Single Precision Score
6814
Half Precision Score
6119
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 11:57 AM |
| Views | 2 |
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% |
2850
530.0 IPS |
|
|
Image Classification (HP)
|
100% |
2906
540.5 IPS |
|
|
Image Classification (Q)
|
97% |
2897
540.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3345
54.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4453
72.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4419
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15794
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16448
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15632
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3215
255.1 IPS |
|
|
Object Detection (HP)
|
100% |
3503
277.9 IPS |
|
|
Object Detection (Q)
|
91% |
3124
249.6 IPS |
|
|
Face Detection (SP)
|
100% |
7606
90.4 IPS |
|
|
Face Detection (HP)
|
100% |
10696
127.1 IPS |
|
|
Face Detection (Q)
|
100% |
7154
85.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13477
103.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14513
111.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12599
98.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33092
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39386
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
35703
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8103
299.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8516
314.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6770
250.0 IPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5835
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5804
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
932
16.1 IPS |
