iPhone 16 Pro Max
Geekbench AI Score
4590
Single Precision Score
7804
Half Precision Score
6264
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 04 2024 12:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2001
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
3391
630.6 IPS |
|
|
Image Classification (Q)
|
96% |
2283
426.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2908
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3383
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9248
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18838
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16022
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2178
172.8 IPS |
|
|
Object Detection (HP)
|
97% |
3791
301.8 IPS |
|
|
Object Detection (Q)
|
94% |
2676
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
3585
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
7552
89.7 IPS |
|
|
Face Detection (Q)
|
100% |
4278
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7934
61.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14385
111.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10032
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24789
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37844
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31418
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5759
212.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6935
256.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5006
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5867
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5912
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3772
65.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7113
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7041
121.7 IPS |
