iPhone 16 Pro Max
Geekbench AI Score
5702
Single Precision Score
6763
Half Precision Score
5919
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | GatorTPK |
| Upload Date | February 28 2025 02:24 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
3066
570.2 IPS |
|
|
Image Classification (HP)
|
100% |
2951
548.7 IPS |
|
|
Image Classification (Q)
|
97% |
2797
521.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3320
53.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4412
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4388
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15539
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16365
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15344
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
3149
249.8 IPS |
|
|
Object Detection (HP)
|
100% |
3453
273.9 IPS |
|
|
Object Detection (Q)
|
91% |
2742
219.1 IPS |
|
|
Face Detection (SP)
|
100% |
7417
88.1 IPS |
|
|
Face Detection (HP)
|
100% |
10481
124.5 IPS |
|
|
Face Detection (Q)
|
100% |
7062
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13115
101.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14291
110.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12490
97.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32705
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39258
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34566
44.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7879
291.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8269
305.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6683
246.8 IPS |
|
|
Text Classification (SP)
|
100% |
3437
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5932
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5935
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
846
14.6 IPS |
