iPhone 16 Pro
Geekbench AI Score
4504
Single Precision Score
32672
Half Precision Score
45576
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | February 16 2025 03:59 PM |
| Views | 3 |
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% |
1945
361.6 IPS |
|
|
Image Classification (HP)
|
100% |
15651
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
20976
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1978
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18435
298.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24123
391.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8345
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
150157
175.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
294236
344.9 IPS |
|
|
Object Detection (SP)
|
100% |
2157
171.1 IPS |
|
|
Object Detection (HP)
|
100% |
16256
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22586
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3631
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
41217
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
57380
681.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7871
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95350
734.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
162947
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23835
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244757
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
302979
391.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5607
207.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50913
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83407
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4272
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4273
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3801
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9407
162.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11390
196.8 IPS |
