iPhone 16 Pro Max
Geekbench AI Score
5771
Single Precision Score
6659
Half Precision Score
5982
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 31 2024 02:22 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% |
3014
560.5 IPS |
|
|
Image Classification (HP)
|
100% |
2696
501.4 IPS |
|
|
Image Classification (Q)
|
97% |
2795
521.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3317
53.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4375
70.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4342
70.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15619
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16489
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15556
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3169
251.3 IPS |
|
|
Object Detection (HP)
|
100% |
3484
276.4 IPS |
|
|
Object Detection (Q)
|
91% |
2841
227.0 IPS |
|
|
Face Detection (SP)
|
100% |
7657
91.0 IPS |
|
|
Face Detection (HP)
|
100% |
10569
125.6 IPS |
|
|
Face Detection (Q)
|
100% |
7071
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13309
102.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14836
114.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12491
97.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32780
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39255
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
36283
46.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7999
295.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8357
308.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6800
251.1 IPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5881
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5818
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
863
14.9 IPS |
