iPhone 16 Pro Max
Geekbench AI Score
4336
Single Precision Score
7451
Half Precision Score
5852
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 09:53 PM |
| 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% |
1979
368.0 IPS |
|
|
Image Classification (HP)
|
100% |
3221
599.1 IPS |
|
|
Image Classification (Q)
|
96% |
2193
409.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2940
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3118
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8261
9.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
16608
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14244
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2014
159.7 IPS |
|
|
Object Detection (HP)
|
97% |
3753
298.8 IPS |
|
|
Object Detection (Q)
|
94% |
2549
203.2 IPS |
|
|
Face Detection (SP)
|
100% |
3457
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
6931
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
3742
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7159
55.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
12984
100.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8961
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22272
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35281
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29104
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5280
194.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6838
252.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4769
176.1 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5894
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5872
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3775
65.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6984
120.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6951
120.1 IPS |
