iPhone 16
Geekbench AI Score
4281
Single Precision Score
33021
Half Precision Score
45998
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | felixalex2025 |
| Upload Date | June 02 2025 04:31 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2005
372.8 IPS |
|
|
Image Classification (HP)
|
100% |
15048
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
20497
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1785
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18138
294.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23734
384.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8203
9.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
145984
170.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
293124
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
2272
180.2 IPS |
|
|
Object Detection (HP)
|
100% |
16420
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22693
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3459
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
41145
488.9 IPS |
|
|
Face Detection (Q)
|
100% |
56452
670.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7757
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95626
736.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
161833
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
17023
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245844
316.0 IPS |
|
|
Style Transfer (Q)
|
96% |
304732
393.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5134
189.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50305
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85368
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3366
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4705
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4691
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3936
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10293
177.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11755
203.1 IPS |
