iPhone 16 Pro
Geekbench AI Score
4614
Single Precision Score
33426
Half Precision Score
46826
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | vacantsouls |
| Upload Date | May 26 2025 11:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2060
383.1 IPS |
|
|
Image Classification (HP)
|
100% |
15450
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
21238
3.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1992
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18424
298.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24110
390.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9151
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
151861
177.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
291833
342.0 IPS |
|
|
Object Detection (SP)
|
100% |
2345
186.0 IPS |
|
|
Object Detection (HP)
|
100% |
16334
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22644
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3935
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
41024
487.5 IPS |
|
|
Face Detection (Q)
|
100% |
59404
705.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8139
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95334
734.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
163851
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
20036
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245867
316.1 IPS |
|
|
Style Transfer (Q)
|
96% |
302915
390.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5452
201.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50674
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85225
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4945
6.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5254
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4156
71.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10237
176.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11347
196.1 IPS |
