iPhone 16 Pro Max
Geekbench AI Score
4486
Single Precision Score
7696
Half Precision Score
6136
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 13 2025 03:11 AM |
| Views | 26 |
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% |
2000
371.9 IPS |
|
|
Image Classification (HP)
|
100% |
3367
626.2 IPS |
|
|
Image Classification (Q)
|
96% |
2259
421.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1923
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2929
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3371
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8766
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17970
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15164
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2129
168.9 IPS |
|
|
Object Detection (HP)
|
97% |
3787
301.5 IPS |
|
|
Object Detection (Q)
|
94% |
2655
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
3572
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
7410
88.1 IPS |
|
|
Face Detection (Q)
|
100% |
4169
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7651
59.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13924
107.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9688
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23792
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37383
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30612
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5510
203.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6864
253.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4923
181.8 IPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5870
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5837
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3749
64.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6995
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6957
120.2 IPS |
