iPhone 16 Pro
Geekbench AI Score
4307
Single Precision Score
7493
Half Precision Score
6014
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 04:41 PM |
| 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 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2015
374.7 IPS |
|
|
Image Classification (HP)
|
100% |
3352
623.3 IPS |
|
|
Image Classification (Q)
|
96% |
2270
423.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1871
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2893
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3321
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8274
9.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
16339
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14118
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2027
160.8 IPS |
|
|
Object Detection (HP)
|
97% |
3741
297.8 IPS |
|
|
Object Detection (Q)
|
94% |
2557
203.8 IPS |
|
|
Face Detection (SP)
|
100% |
3441
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
7322
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
4029
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7406
57.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13897
107.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9526
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22759
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36264
46.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30139
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5238
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6848
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4866
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
3420
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5890
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5852
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3344
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6331
109.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6905
119.3 IPS |
