iPhone 16 Pro
Geekbench AI Score
4466
Single Precision Score
7663
Half Precision Score
6063
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | April 28 2025 07:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2035
378.4 IPS |
|
|
Image Classification (HP)
|
100% |
3416
635.2 IPS |
|
|
Image Classification (Q)
|
96% |
2267
423.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1941
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2827
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3213
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8445
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
16919
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14406
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2250
178.4 IPS |
|
|
Object Detection (HP)
|
97% |
3720
296.2 IPS |
|
|
Object Detection (Q)
|
94% |
2589
206.4 IPS |
|
|
Face Detection (SP)
|
100% |
3814
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
7403
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
4028
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7821
60.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13761
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9472
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19251
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35935
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29359
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5098
188.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7299
269.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5122
189.1 IPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5855
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5831
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4256
73.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7352
127.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7386
127.6 IPS |
