iPhone 16 Pro
Geekbench AI Score
4546
Single Precision Score
33011
Half Precision Score
44953
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | enfwngzer |
| Upload Date | December 18 2024 12:55 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2031
377.7 IPS |
|
|
Image Classification (HP)
|
100% |
15422
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20327
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18318
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24237
392.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8852
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153671
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
293200
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
2134
169.3 IPS |
|
|
Object Detection (HP)
|
100% |
16277
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22483
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3611
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
40998
487.1 IPS |
|
|
Face Detection (Q)
|
100% |
60093
714.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7804
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95422
735.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160006
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23961
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
242641
311.9 IPS |
|
|
Style Transfer (Q)
|
96% |
302141
389.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5636
208.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50710
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86919
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4501
6.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3626
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3832
66.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10038
172.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11334
195.9 IPS |
