iPhone 16 Pro Max
Geekbench AI Score
5747
Single Precision Score
6687
Half Precision Score
6045
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | oldnick |
| Upload Date | January 13 2025 10:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2894
538.2 IPS |
|
|
Image Classification (HP)
|
100% |
2526
469.8 IPS |
|
|
Image Classification (Q)
|
97% |
2808
524.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3318
53.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4452
72.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4415
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15640
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16256
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15556
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3201
253.9 IPS |
|
|
Object Detection (HP)
|
100% |
3512
278.6 IPS |
|
|
Object Detection (Q)
|
91% |
2864
228.8 IPS |
|
|
Face Detection (SP)
|
100% |
7808
92.8 IPS |
|
|
Face Detection (HP)
|
100% |
10733
127.5 IPS |
|
|
Face Detection (Q)
|
100% |
7222
85.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13645
105.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14514
111.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12625
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32918
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39740
51.1 IPS |
|
|
Style Transfer (Q)
|
96% |
36219
46.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8056
297.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8449
312.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6843
252.7 IPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5890
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5834
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
845
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
905
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
895
15.5 IPS |
