iPhone 16 Pro Max
Geekbench AI Score
4412
Single Precision Score
7658
Half Precision Score
6082
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 11:25 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% |
1990
370.1 IPS |
|
|
Image Classification (HP)
|
100% |
3381
628.8 IPS |
|
|
Image Classification (Q)
|
96% |
2282
426.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2906
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3360
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8454
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
17209
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14702
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2093
166.0 IPS |
|
|
Object Detection (HP)
|
97% |
3795
302.1 IPS |
|
|
Object Detection (Q)
|
94% |
2618
208.7 IPS |
|
|
Face Detection (SP)
|
100% |
3447
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
7317
86.9 IPS |
|
|
Face Detection (Q)
|
100% |
4099
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7449
57.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13917
107.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9530
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23285
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36931
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29642
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5439
200.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6903
254.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4899
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
6006
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5938
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3753
64.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6935
119.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6967
120.4 IPS |
