iPhone 16
Geekbench AI Score
4473
Single Precision Score
4823
Half Precision Score
4896
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Paddie37 |
| Upload Date | March 22 2025 02:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
884
164.5 IPS |
|
|
Image Classification (HP)
|
100% |
809
150.5 IPS |
|
|
Image Classification (Q)
|
96% |
853
159.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3314
53.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4011
65.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3855
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13523
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13945
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13646
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1938
153.7 IPS |
|
|
Object Detection (HP)
|
100% |
1675
132.9 IPS |
|
|
Object Detection (Q)
|
92% |
2072
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
7159
85.1 IPS |
|
|
Face Detection (HP)
|
100% |
8431
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
7383
87.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11543
88.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12473
96.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
11474
89.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29778
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32863
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31637
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4774
176.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3780
139.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4678
172.7 IPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5935
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5846
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1162
20.1 IPS |
