iPhone 16
Geekbench AI Score
4177
Single Precision Score
32758
Half Precision Score
45948
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | gumieAGT |
| Upload Date | August 03 2025 12:25 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
15259
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20428
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1791
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18183
294.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23970
388.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7560
8.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
139474
162.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
291708
341.9 IPS |
|
|
Object Detection (SP)
|
100% |
2162
171.5 IPS |
|
|
Object Detection (HP)
|
100% |
16213
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22663
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3407
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
39476
469.1 IPS |
|
|
Face Detection (Q)
|
100% |
56509
671.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7534
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95090
732.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
158745
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
16960
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244202
313.9 IPS |
|
|
Style Transfer (Q)
|
96% |
303482
391.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4744
175.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49881
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82747
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3403
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4802
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5048
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3891
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10329
177.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11395
196.9 IPS |
