iPhone 16 Pro Max
Geekbench AI Score
5666
Single Precision Score
6678
Half Precision Score
5874
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Aaronage |
| Upload Date | December 10 2024 11:42 AM |
| Views | 3 |
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% |
2788
518.5 IPS |
|
|
Image Classification (HP)
|
100% |
2557
475.5 IPS |
|
|
Image Classification (Q)
|
97% |
2776
518.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3369
54.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4420
71.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4425
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15749
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16466
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15505
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3273
259.6 IPS |
|
|
Object Detection (HP)
|
100% |
3531
280.1 IPS |
|
|
Object Detection (Q)
|
91% |
2866
229.0 IPS |
|
|
Face Detection (SP)
|
100% |
7369
87.6 IPS |
|
|
Face Detection (HP)
|
100% |
10712
127.3 IPS |
|
|
Face Detection (Q)
|
100% |
7112
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13617
104.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14261
109.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
11835
92.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32816
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39476
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
36979
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8002
295.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8428
311.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6713
247.9 IPS |
|
|
Text Classification (SP)
|
100% |
3465
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5967
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5843
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
886
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
735
12.7 IPS |
