iPhone 16 Pro Max
Geekbench AI Score
5707
Single Precision Score
6646
Half Precision Score
5927
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Vicedriver |
| Upload Date | December 07 2024 10:04 PM |
| Views | 17 |
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% |
2938
546.4 IPS |
|
|
Image Classification (HP)
|
100% |
2584
480.5 IPS |
|
|
Image Classification (Q)
|
97% |
2859
533.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3299
53.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4410
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4391
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15736
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16418
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15539
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3186
252.7 IPS |
|
|
Object Detection (HP)
|
100% |
3491
276.9 IPS |
|
|
Object Detection (Q)
|
91% |
2862
228.7 IPS |
|
|
Face Detection (SP)
|
100% |
7632
90.7 IPS |
|
|
Face Detection (HP)
|
100% |
10712
127.3 IPS |
|
|
Face Detection (Q)
|
100% |
7103
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13340
102.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14385
110.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12336
96.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32963
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37404
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
35407
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7995
295.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8362
308.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6611
244.1 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5853
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5951
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
821
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
913
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
786
13.6 IPS |
