iPhone 16 Pro
Geekbench AI Score
4709
Single Precision Score
31227
Half Precision Score
42214
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 06 2025 01:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
14877
2.77 KIPS |
|
|
Image Classification (Q)
|
97% |
19610
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2007
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18207
295.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23800
385.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9518
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153033
178.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
290900
341.0 IPS |
|
|
Object Detection (SP)
|
100% |
2389
189.5 IPS |
|
|
Object Detection (HP)
|
100% |
16242
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22896
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
4008
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
40665
483.2 IPS |
|
|
Face Detection (Q)
|
100% |
56638
673.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8308
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94326
726.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
159126
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
20716
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244547
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
301222
388.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5724
211.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51715
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84072
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2796
3.73 KIPS |
|
|
Text Classification (Q)
|
93% |
2367
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4249
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9657
166.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10701
184.9 IPS |
