iPhone 16 Pro
Geekbench AI Score
4498
Single Precision Score
7717
Half Precision Score
6186
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 12:15 AM |
| Views | 2 |
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% |
2049
381.1 IPS |
|
|
Image Classification (HP)
|
100% |
3382
629.0 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2905
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3384
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8814
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17468
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15039
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2146
170.3 IPS |
|
|
Object Detection (HP)
|
97% |
3773
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2669
212.7 IPS |
|
|
Face Detection (SP)
|
100% |
3624
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
7431
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
4151
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7291
56.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14038
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9680
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23285
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36381
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30686
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5498
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6889
254.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4954
182.9 IPS |
|
|
Text Classification (SP)
|
100% |
3475
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
6168
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6060
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3797
65.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7174
124.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7191
124.3 IPS |
