iPhone 16 Pro
Geekbench AI Score
4691
Single Precision Score
32336
Half Precision Score
43521
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | February 06 2025 01:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2010
373.7 IPS |
|
|
Image Classification (HP)
|
100% |
14953
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
19894
3.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18137
294.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24037
389.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9684
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
154882
180.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
294072
344.7 IPS |
|
|
Object Detection (SP)
|
100% |
2225
176.5 IPS |
|
|
Object Detection (HP)
|
100% |
16077
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22111
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3719
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
41213
489.7 IPS |
|
|
Face Detection (Q)
|
100% |
56217
668.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8166
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95233
733.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
162545
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
25181
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245847
316.0 IPS |
|
|
Style Transfer (Q)
|
96% |
301328
388.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5875
216.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50054
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83090
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3455
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4099
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
3036
4.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3873
66.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9349
161.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11288
195.1 IPS |
