iPhone 16
Geekbench AI Score
4260
Single Precision Score
33669
Half Precision Score
45794
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 24 2025 07:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2030
377.5 IPS |
|
|
Image Classification (HP)
|
100% |
14408
2.68 KIPS |
|
|
Image Classification (Q)
|
97% |
18414
3.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17956
291.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23560
381.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8366
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
148815
173.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292766
343.1 IPS |
|
|
Object Detection (SP)
|
100% |
2290
181.7 IPS |
|
|
Object Detection (HP)
|
100% |
15570
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21436
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3417
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
39665
471.3 IPS |
|
|
Face Detection (Q)
|
100% |
52356
622.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7565
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
93999
724.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
150698
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
17552
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
240510
309.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296454
382.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4757
175.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50734
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80093
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5893
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5927
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3893
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11651
200.7 IPS |
|
|
Machine Translation (Q)
|
98% |
13418
231.9 IPS |
