iPhone 16 Pro
Geekbench AI Score
4647
Single Precision Score
32155
Half Precision Score
44025
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | touchstone |
| Upload Date | April 07 2025 01:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2008
373.4 IPS |
|
|
Image Classification (HP)
|
100% |
15254
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
19695
3.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14688
238.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18297
296.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9609
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
155094
181.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
293548
344.1 IPS |
|
|
Object Detection (SP)
|
100% |
2183
173.2 IPS |
|
|
Object Detection (HP)
|
100% |
16430
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22492
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3726
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
41166
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
54679
649.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8056
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95419
735.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
162189
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24803
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245682
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
303913
392.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5761
212.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51187
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85335
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4394
5.87 KIPS |
|
|
Text Classification (Q)
|
93% |
4365
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3861
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9538
164.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11452
197.9 IPS |
