iPhone 16 Pro Max
Geekbench AI Score
5734
Single Precision Score
6683
Half Precision Score
5991
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 11:09 PM |
| Views | 1 |
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% |
3004
558.6 IPS |
|
|
Image Classification (HP)
|
100% |
2792
519.2 IPS |
|
|
Image Classification (Q)
|
97% |
2859
533.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3341
54.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4410
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4357
70.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15629
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16486
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15467
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3321
263.4 IPS |
|
|
Object Detection (HP)
|
100% |
3456
274.1 IPS |
|
|
Object Detection (Q)
|
91% |
2829
226.1 IPS |
|
|
Face Detection (SP)
|
100% |
7557
89.8 IPS |
|
|
Face Detection (HP)
|
100% |
10632
126.3 IPS |
|
|
Face Detection (Q)
|
100% |
7072
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13276
102.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14414
111.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
12517
97.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32667
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39137
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
35535
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8002
295.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8430
311.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6831
252.2 IPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5918
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5833
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
873
15.1 IPS |
