iPhone 16 Pro Max
Geekbench AI Score
4499
Single Precision Score
7720
Half Precision Score
6166
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 08:13 PM |
| 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% |
2015
374.8 IPS |
|
|
Image Classification (HP)
|
100% |
3381
628.8 IPS |
|
|
Image Classification (Q)
|
96% |
2278
425.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1939
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2923
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3372
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8772
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18170
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15360
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2155
170.9 IPS |
|
|
Object Detection (HP)
|
97% |
3819
304.1 IPS |
|
|
Object Detection (Q)
|
94% |
2661
212.1 IPS |
|
|
Face Detection (SP)
|
100% |
3562
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
7432
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
4199
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7648
58.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14107
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9872
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23994
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37237
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30690
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5382
198.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6863
253.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4814
177.7 IPS |
|
|
Text Classification (SP)
|
100% |
3447
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5880
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5873
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3794
65.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6964
120.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7044
121.7 IPS |
