iPhone 16
Geekbench AI Score
4126
Single Precision Score
7256
Half Precision Score
5754
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | February 22 2025 05:48 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1862
346.3 IPS |
|
|
Image Classification (HP)
|
100% |
3244
603.2 IPS |
|
|
Image Classification (Q)
|
96% |
2201
410.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2858
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3237
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8030
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
16541
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13900
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1969
156.2 IPS |
|
|
Object Detection (HP)
|
97% |
3661
291.4 IPS |
|
|
Object Detection (Q)
|
94% |
2552
203.4 IPS |
|
|
Face Detection (SP)
|
100% |
3085
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6712
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3780
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6971
53.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13214
102.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9066
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21646
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34454
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27792
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4916
181.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6634
245.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4672
172.5 IPS |
|
|
Text Classification (SP)
|
100% |
3433
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
6046
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6039
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3521
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5885
101.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5866
101.4 IPS |
