iPhone 16 Pro
Geekbench AI Score
5842
Single Precision Score
6723
Half Precision Score
6136
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MarkJWilcox |
| Upload Date | January 23 2025 10:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3052
567.6 IPS |
|
|
Image Classification (HP)
|
100% |
2477
460.7 IPS |
|
|
Image Classification (Q)
|
97% |
2882
537.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3498
56.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4482
72.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4466
72.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15789
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16499
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15772
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
3227
256.0 IPS |
|
|
Object Detection (HP)
|
100% |
3664
290.6 IPS |
|
|
Object Detection (Q)
|
91% |
2935
234.5 IPS |
|
|
Face Detection (SP)
|
100% |
8009
95.2 IPS |
|
|
Face Detection (HP)
|
100% |
11238
133.5 IPS |
|
|
Face Detection (Q)
|
100% |
7575
90.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13407
103.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15002
115.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12387
96.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32922
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39029
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
37544
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8148
300.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8443
311.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6809
251.4 IPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5918
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
6038
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
862
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
878
15.2 IPS |
