iPhone 16 Pro Max
Geekbench AI Score
5782
Single Precision Score
6784
Half Precision Score
5960
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 07:23 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% |
2735
508.6 IPS |
|
|
Image Classification (HP)
|
100% |
2893
538.1 IPS |
|
|
Image Classification (Q)
|
97% |
2623
489.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3426
55.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4424
71.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4405
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15750
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16508
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15561
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3209
254.5 IPS |
|
|
Object Detection (HP)
|
100% |
3488
276.7 IPS |
|
|
Object Detection (Q)
|
91% |
2864
228.8 IPS |
|
|
Face Detection (SP)
|
100% |
8049
95.6 IPS |
|
|
Face Detection (HP)
|
100% |
10679
126.9 IPS |
|
|
Face Detection (Q)
|
100% |
7139
84.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13390
103.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14476
111.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12573
98.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32907
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39571
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
35772
46.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7945
293.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8372
309.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6686
246.9 IPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5857
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5824
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
879
15.2 IPS |
