iPhone 16 Pro
Geekbench AI Score
4576
Single Precision Score
32881
Half Precision Score
45977
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 06:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2035
378.4 IPS |
|
|
Image Classification (HP)
|
100% |
15479
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20885
3.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1965
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18322
297.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24096
390.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8743
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153183
178.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293957
344.5 IPS |
|
|
Object Detection (SP)
|
100% |
2169
172.0 IPS |
|
|
Object Detection (HP)
|
100% |
16412
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22735
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3663
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
41211
489.7 IPS |
|
|
Face Detection (Q)
|
100% |
57875
687.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7902
60.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95744
737.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
164988
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23967
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244945
314.9 IPS |
|
|
Style Transfer (Q)
|
96% |
300459
387.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5796
214.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51430
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84975
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4379
5.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4464
5.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3852
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9520
164.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11534
199.3 IPS |
