iPhone 16 Pro
Geekbench AI Score
4309
Single Precision Score
32780
Half Precision Score
45955
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | January 30 2025 02:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1985
369.1 IPS |
|
|
Image Classification (HP)
|
100% |
15568
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
20949
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1895
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18183
294.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24013
389.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7896
9.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
143145
167.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
292789
343.2 IPS |
|
|
Object Detection (SP)
|
100% |
2026
160.7 IPS |
|
|
Object Detection (HP)
|
100% |
16215
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22620
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3420
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
41218
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
58473
694.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7189
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94320
726.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
159766
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22139
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245148
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
301603
389.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5301
195.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50108
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82427
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3428
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4734
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4963
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3711
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9644
166.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10940
189.1 IPS |
