iPhone 16 Pro
Geekbench AI Score
4626
Single Precision Score
7793
Half Precision Score
6229
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mullah_crekar |
| Upload Date | March 09 2025 10:00 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2085
387.8 IPS |
|
|
Image Classification (HP)
|
100% |
3381
628.7 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2878
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3350
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9284
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17834
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15596
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2327
184.6 IPS |
|
|
Object Detection (HP)
|
97% |
3801
302.6 IPS |
|
|
Object Detection (Q)
|
94% |
2645
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
3954
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
7414
88.1 IPS |
|
|
Face Detection (Q)
|
100% |
4204
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8170
62.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14415
111.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9897
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20194
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37532
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31089
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5479
202.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7274
268.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5184
191.4 IPS |
|
|
Text Classification (SP)
|
100% |
3309
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
5821
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5652
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4195
72.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7381
127.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7397
127.8 IPS |
