iPhone 16 Pro Max
Geekbench AI Score
4389
Single Precision Score
7606
Half Precision Score
6046
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 07:36 AM |
| Views | 2 |
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% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
3361
625.1 IPS |
|
|
Image Classification (Q)
|
96% |
2278
425.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1910
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2923
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3361
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8318
9.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
17178
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14631
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2054
162.9 IPS |
|
|
Object Detection (HP)
|
97% |
3782
301.1 IPS |
|
|
Object Detection (Q)
|
94% |
2609
208.0 IPS |
|
|
Face Detection (SP)
|
100% |
3458
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
7335
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4066
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7385
56.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13538
104.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9304
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22886
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35957
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29904
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5320
196.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6929
255.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4828
178.3 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5897
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5845
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3787
65.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6966
120.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7004
121.0 IPS |
