iPhone 16 Pro
Geekbench AI Score
4106
Single Precision Score
6636
Half Precision Score
5716
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 19 2025 07:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1492
277.5 IPS |
|
|
Image Classification (HP)
|
100% |
2048
380.8 IPS |
|
|
Image Classification (Q)
|
96% |
2040
381.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1919
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2771
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3183
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7471
8.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
14762
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13104
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
2026
160.7 IPS |
|
|
Object Detection (HP)
|
97% |
2379
189.4 IPS |
|
|
Object Detection (Q)
|
94% |
2377
189.5 IPS |
|
|
Face Detection (SP)
|
100% |
3601
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
7011
83.3 IPS |
|
|
Face Detection (Q)
|
100% |
3837
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7560
58.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
11956
92.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8602
67.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16180
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34903
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28745
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4985
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7032
259.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5001
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3377
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5818
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5839
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4241
73.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6950
120.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6645
114.8 IPS |
