iPhone 16
Geekbench AI Score
4214
Single Precision Score
33115
Half Precision Score
45875
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | February 22 2025 01:42 PM |
| Views | 8 |
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% |
1937
360.2 IPS |
|
|
Image Classification (HP)
|
100% |
15251
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20842
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1785
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18143
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23764
385.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8016
9.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
149992
175.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
294125
344.7 IPS |
|
|
Object Detection (SP)
|
100% |
2042
162.0 IPS |
|
|
Object Detection (HP)
|
100% |
16196
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22580
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
40751
484.2 IPS |
|
|
Face Detection (Q)
|
100% |
56554
672.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7304
56.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
96139
740.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
162128
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
21643
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244999
314.9 IPS |
|
|
Style Transfer (Q)
|
96% |
303253
391.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5176
191.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50054
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84188
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5051
6.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4609
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3525
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9722
167.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11633
201.0 IPS |
