iPhone 16 Pro
Geekbench AI Score
4550
Single Precision Score
7769
Half Precision Score
6191
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | seemiller |
| Upload Date | January 30 2025 06:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2045
380.3 IPS |
|
|
Image Classification (HP)
|
100% |
3402
632.7 IPS |
|
|
Image Classification (Q)
|
96% |
2275
424.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1945
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2947
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3376
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9040
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18403
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15566
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2140
169.7 IPS |
|
|
Object Detection (HP)
|
97% |
3836
305.4 IPS |
|
|
Object Detection (Q)
|
94% |
2680
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
3619
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
7493
89.0 IPS |
|
|
Face Detection (Q)
|
100% |
4238
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7744
59.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14121
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9866
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24053
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37116
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30339
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5611
207.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6890
254.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4925
181.9 IPS |
|
|
Text Classification (SP)
|
100% |
3434
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5879
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5819
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3811
65.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7115
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7110
122.9 IPS |
