iPhone 16
Geekbench AI Score
3989
Single Precision Score
32762
Half Precision Score
45765
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 30 2024 06:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1937
360.2 IPS |
|
|
Image Classification (HP)
|
100% |
15416
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20319
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18124
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23704
384.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7194
8.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
135022
157.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
271853
318.6 IPS |
|
|
Object Detection (SP)
|
100% |
1907
151.2 IPS |
|
|
Object Detection (HP)
|
100% |
16391
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22596
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3049
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
39983
475.1 IPS |
|
|
Face Detection (Q)
|
100% |
56176
667.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6680
51.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95380
734.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160635
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
19962
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244710
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
304297
392.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4570
168.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49528
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84274
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4996
6.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5158
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3492
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9978
171.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11414
197.2 IPS |
