iPhone 16 Pro Max
Geekbench AI Score
5956
Single Precision Score
6843
Half Precision Score
5957
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | kelevra |
| Upload Date | December 07 2024 08:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3059
568.9 IPS |
|
|
Image Classification (HP)
|
100% |
2854
530.7 IPS |
|
|
Image Classification (Q)
|
97% |
2833
528.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3329
54.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4420
71.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4370
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15743
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16516
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15633
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3192
253.2 IPS |
|
|
Object Detection (HP)
|
100% |
3696
293.2 IPS |
|
|
Object Detection (Q)
|
91% |
2865
228.9 IPS |
|
|
Face Detection (SP)
|
100% |
7599
90.3 IPS |
|
|
Face Detection (HP)
|
100% |
10660
126.7 IPS |
|
|
Face Detection (Q)
|
100% |
7117
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13379
103.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14435
111.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
12073
94.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33124
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39557
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
36454
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7961
294.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8485
313.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6801
251.1 IPS |
|
|
Text Classification (SP)
|
100% |
3435
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5886
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5983
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
963
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
797
13.8 IPS |
