iPhone 16
Geekbench AI Score
4402
Single Precision Score
32971
Half Precision Score
45804
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 08:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2017
375.0 IPS |
|
|
Image Classification (HP)
|
100% |
15153
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20803
3.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18166
294.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23766
385.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8730
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153457
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
292600
342.9 IPS |
|
|
Object Detection (SP)
|
100% |
2296
182.1 IPS |
|
|
Object Detection (HP)
|
100% |
16345
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22709
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3588
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
40084
476.3 IPS |
|
|
Face Detection (Q)
|
100% |
52960
629.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8027
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95108
732.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160039
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
18668
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244466
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
303065
391.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5235
193.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50575
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83842
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4727
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5090
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3942
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9871
170.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11289
195.1 IPS |
