iPhone 16
Geekbench AI Score
4504
Single Precision Score
33308
Half Precision Score
46507
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 03 2025 01:00 AM |
| 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% |
2010
373.9 IPS |
|
|
Image Classification (HP)
|
100% |
15460
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
21144
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1823
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18169
294.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23803
385.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9123
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
154054
179.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293642
344.2 IPS |
|
|
Object Detection (SP)
|
100% |
2319
183.9 IPS |
|
|
Object Detection (HP)
|
100% |
16329
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
23045
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
3609
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
39683
471.5 IPS |
|
|
Face Detection (Q)
|
100% |
56494
671.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8196
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95546
736.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
160868
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
19577
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245777
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
304255
392.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5652
208.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51353
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87050
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4846
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4926
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3976
68.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10258
176.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11722
202.6 IPS |
