iPhone 16 Pro
Geekbench AI Score
4497
Single Precision Score
7717
Half Precision Score
6147
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 06:16 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% |
2027
376.9 IPS |
|
|
Image Classification (HP)
|
100% |
3364
625.7 IPS |
|
|
Image Classification (Q)
|
96% |
2288
427.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2941
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3355
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8764
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17637
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15103
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2136
169.5 IPS |
|
|
Object Detection (HP)
|
97% |
3812
303.5 IPS |
|
|
Object Detection (Q)
|
94% |
2657
211.8 IPS |
|
|
Face Detection (SP)
|
100% |
3568
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
7462
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
4163
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7580
58.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14009
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9600
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23703
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36821
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30499
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5468
201.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6944
256.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4914
181.4 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5874
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5863
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3812
65.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7178
124.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7130
123.2 IPS |
