iPhone 16
Geekbench AI Score
4411
Single Precision Score
33424
Half Precision Score
46302
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | baokhanhz |
| Upload Date | May 09 2025 07:54 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2008
373.4 IPS |
|
|
Image Classification (HP)
|
100% |
15617
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
21797
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18133
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23715
384.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8620
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153768
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
295538
346.4 IPS |
|
|
Object Detection (SP)
|
100% |
2272
180.2 IPS |
|
|
Object Detection (HP)
|
100% |
16713
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
22615
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3548
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
41197
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
58254
692.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8055
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95968
739.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
160324
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
18824
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245766
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
303192
391.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5464
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51838
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83986
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4651
6.21 KIPS |
|
|
Text Classification (Q)
|
93% |
4876
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3968
68.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10208
175.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11306
195.4 IPS |
