iPhone 16
Geekbench AI Score
4342
Single Precision Score
32856
Half Precision Score
46052
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | February 14 2025 03:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1935
359.8 IPS |
|
|
Image Classification (HP)
|
100% |
15211
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20158
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1779
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18176
294.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23780
385.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8714
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
154439
180.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
294388
345.0 IPS |
|
|
Object Detection (SP)
|
100% |
2135
169.4 IPS |
|
|
Object Detection (HP)
|
100% |
16136
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22719
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3271
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
39939
474.6 IPS |
|
|
Face Detection (Q)
|
100% |
56706
673.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7732
59.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95441
735.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
160976
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23234
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245440
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
305567
394.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5522
203.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50595
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86073
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3440
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4551
6.07 KIPS |
|
|
Text Classification (Q)
|
93% |
4814
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3334
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9878
170.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11580
200.1 IPS |
