iPhone 16 Pro Max
Geekbench AI Score
4371
Single Precision Score
7623
Half Precision Score
6062
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 09:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1999
371.7 IPS |
|
|
Image Classification (HP)
|
100% |
3384
629.2 IPS |
|
|
Image Classification (Q)
|
96% |
2281
426.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2912
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3324
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8442
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
17430
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14811
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2070
164.2 IPS |
|
|
Object Detection (HP)
|
97% |
3742
297.9 IPS |
|
|
Object Detection (Q)
|
94% |
2602
207.4 IPS |
|
|
Face Detection (SP)
|
100% |
3406
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
7147
84.9 IPS |
|
|
Face Detection (Q)
|
100% |
4060
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7384
56.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14018
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9608
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22848
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36439
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29548
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5315
196.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6917
255.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4849
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
3443
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5932
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5949
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3651
62.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6884
119.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6902
119.3 IPS |
