iPhone 16 Pro Max
Geekbench AI Score
4427
Single Precision Score
7586
Half Precision Score
6095
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | riussi |
| Upload Date | January 28 2025 04:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1914
355.9 IPS |
|
|
Image Classification (HP)
|
100% |
3300
613.6 IPS |
|
|
Image Classification (Q)
|
96% |
2262
422.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1925
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3004
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3364
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8390
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
14940
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14038
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2071
164.3 IPS |
|
|
Object Detection (HP)
|
97% |
3735
297.4 IPS |
|
|
Object Detection (Q)
|
94% |
2623
209.1 IPS |
|
|
Face Detection (SP)
|
100% |
3486
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
7349
87.3 IPS |
|
|
Face Detection (Q)
|
100% |
4169
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7514
57.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13931
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9399
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23639
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37517
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30679
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5528
204.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6953
256.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4938
182.3 IPS |
|
|
Text Classification (SP)
|
100% |
3479
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
6023
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5993
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3798
65.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7100
122.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7100
122.7 IPS |
