iPhone 16 Pro
Geekbench AI Score
4500
Single Precision Score
33116
Half Precision Score
46015
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 01:11 AM |
| 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% |
2018
375.4 IPS |
|
|
Image Classification (HP)
|
100% |
15263
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20081
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18203
295.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24101
390.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8733
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153541
179.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
292671
343.0 IPS |
|
|
Object Detection (SP)
|
100% |
2162
171.5 IPS |
|
|
Object Detection (HP)
|
100% |
16176
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22417
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3523
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
41292
490.6 IPS |
|
|
Face Detection (Q)
|
100% |
59095
702.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7765
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95549
736.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
162923
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23824
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245266
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
301924
389.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5596
206.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51758
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84101
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4639
6.19 KIPS |
|
|
Text Classification (Q)
|
93% |
4894
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3729
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9896
170.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11205
193.6 IPS |
