iPhone 16 Pro
Geekbench AI Score
4259
Single Precision Score
32584
Half Precision Score
45556
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | April 26 2025 12:46 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1809
336.4 IPS |
|
|
Image Classification (HP)
|
100% |
15579
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
20947
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18159
294.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24068
390.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7699
8.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
144553
168.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
292896
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
2012
159.6 IPS |
|
|
Object Detection (HP)
|
100% |
16177
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22935
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3506
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
41193
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
57432
682.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7352
56.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95124
732.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
159628
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22530
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244077
313.8 IPS |
|
|
Style Transfer (Q)
|
96% |
300618
387.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5328
196.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49414
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83796
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4286
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4342
5.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3823
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10069
173.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11338
195.9 IPS |
