iPhone 16 Pro
Geekbench AI Score
4564
Single Precision Score
32937
Half Precision Score
45509
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Cifra45 |
| Upload Date | July 31 2025 04:48 PM |
| Views | 8 |
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% |
2065
384.1 IPS |
|
|
Image Classification (HP)
|
100% |
14869
2.77 KIPS |
|
|
Image Classification (Q)
|
97% |
20068
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18346
297.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24194
392.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8867
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153351
178.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
291183
341.3 IPS |
|
|
Object Detection (SP)
|
100% |
2344
185.9 IPS |
|
|
Object Detection (HP)
|
100% |
16631
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
22417
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3925
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
41149
488.9 IPS |
|
|
Face Detection (Q)
|
100% |
57111
678.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8103
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94924
731.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
159215
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
19831
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245371
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
301834
389.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5071
187.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50046
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85271
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4426
5.91 KIPS |
|
|
Text Classification (Q)
|
93% |
4455
5.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4261
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10176
175.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11534
199.3 IPS |
