iPhone 16
Geekbench AI Score
4444
Single Precision Score
34022
Half Precision Score
45686
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 22 2025 11:59 PM |
| Views | 7 |
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% |
2047
380.7 IPS |
|
|
Image Classification (HP)
|
100% |
14453
2.69 KIPS |
|
|
Image Classification (Q)
|
97% |
18777
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1786
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18118
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23418
379.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8656
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
152624
178.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
294224
344.8 IPS |
|
|
Object Detection (SP)
|
100% |
2331
184.9 IPS |
|
|
Object Detection (HP)
|
100% |
15616
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21570
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3537
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
40189
477.5 IPS |
|
|
Face Detection (Q)
|
100% |
52048
618.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7833
60.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94378
727.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
151634
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
20228
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244913
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
295723
381.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5485
202.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51178
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79046
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3365
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5914
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5833
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3938
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11842
204.0 IPS |
|
|
Machine Translation (Q)
|
98% |
13192
228.0 IPS |
