iPhone 16
Geekbench AI Score
4300
Single Precision Score
32969
Half Precision Score
46189
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 11:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2018
375.3 IPS |
|
|
Image Classification (HP)
|
100% |
15127
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
20873
3.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18159
294.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23885
387.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8208
9.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
146425
170.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
291887
342.1 IPS |
|
|
Object Detection (SP)
|
100% |
2223
176.3 IPS |
|
|
Object Detection (HP)
|
100% |
16271
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22678
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3506
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
40346
479.4 IPS |
|
|
Face Detection (Q)
|
100% |
56809
675.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7834
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95004
732.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
158925
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
17739
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244497
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
304657
393.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4971
183.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50263
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83819
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4802
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5007
6.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3932
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10250
176.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11603
200.5 IPS |
