iPhone 16
Geekbench AI Score
4397
Single Precision Score
33169
Half Precision Score
45861
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 29 2025 10:19 AM |
| Views | 4 |
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% |
2003
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
14984
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
20574
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18151
294.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23713
384.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8775
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153709
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293195
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.2 IPS |
|
|
Object Detection (HP)
|
100% |
16216
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22876
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3568
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
39705
471.8 IPS |
|
|
Face Detection (Q)
|
100% |
56243
668.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8128
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95524
736.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
159954
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
18843
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245774
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
303915
392.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5048
186.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50743
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84960
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3410
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4863
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4744
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3939
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10338
178.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11415
197.3 IPS |
