iPhone 16 Pro Max
Geekbench AI Score
5730
Single Precision Score
6734
Half Precision Score
6001
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Kiruno |
| Upload Date | February 06 2025 04:16 PM |
| Views | 31 |
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% |
2967
551.8 IPS |
|
|
Image Classification (HP)
|
100% |
2960
550.5 IPS |
|
|
Image Classification (Q)
|
97% |
2850
531.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3355
54.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4389
71.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4332
70.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15623
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16481
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15440
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3251
257.9 IPS |
|
|
Object Detection (HP)
|
100% |
3466
274.9 IPS |
|
|
Object Detection (Q)
|
91% |
2858
228.4 IPS |
|
|
Face Detection (SP)
|
100% |
7830
93.0 IPS |
|
|
Face Detection (HP)
|
100% |
10159
120.7 IPS |
|
|
Face Detection (Q)
|
100% |
7082
84.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13306
102.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14833
114.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12537
98.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32649
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39293
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
35759
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7986
294.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8381
309.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6658
245.8 IPS |
|
|
Text Classification (SP)
|
100% |
3410
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5838
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5866
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
898
15.5 IPS |
