iPhone 16 Pro
Geekbench AI Score
4553
Single Precision Score
33039
Half Precision Score
45728
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 21 2024 02:45 PM |
| Views | 1 |
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% |
2042
379.7 IPS |
|
|
Image Classification (HP)
|
100% |
15239
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
19964
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18325
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24187
392.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8849
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153716
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
294495
345.2 IPS |
|
|
Object Detection (SP)
|
100% |
2185
173.3 IPS |
|
|
Object Detection (HP)
|
100% |
16392
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22866
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3655
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
41272
490.4 IPS |
|
|
Face Detection (Q)
|
100% |
57242
680.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7736
59.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95081
732.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
162975
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23616
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244254
314.0 IPS |
|
|
Style Transfer (Q)
|
96% |
301867
389.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5587
206.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50938
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84595
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4888
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4510
6.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3863
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9231
159.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11444
197.8 IPS |
