iPhone 16
Geekbench AI Score
4191
Single Precision Score
33034
Half Precision Score
46011
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 02 2025 08:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2009
373.7 IPS |
|
|
Image Classification (HP)
|
100% |
15698
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
20449
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18140
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23741
384.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7860
9.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
138582
161.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
290912
341.0 IPS |
|
|
Object Detection (SP)
|
100% |
2183
173.2 IPS |
|
|
Object Detection (HP)
|
100% |
16277
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22342
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3425
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
40528
481.6 IPS |
|
|
Face Detection (Q)
|
100% |
55949
664.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7413
57.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95251
733.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
159272
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
17254
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
246318
316.6 IPS |
|
|
Style Transfer (Q)
|
96% |
302574
390.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4815
177.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49790
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83865
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4946
6.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5236
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3789
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10289
177.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11382
196.7 IPS |
