iPhone 16
Geekbench AI Score
4465
Single Precision Score
33772
Half Precision Score
45658
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Paddie37 |
| Upload Date | June 17 2025 01:40 PM |
| Views | 3 |
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% |
2036
378.6 IPS |
|
|
Image Classification (HP)
|
100% |
14389
2.68 KIPS |
|
|
Image Classification (Q)
|
97% |
19053
3.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18080
293.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23562
382.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8776
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
152647
178.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
293866
344.4 IPS |
|
|
Object Detection (SP)
|
100% |
2339
185.5 IPS |
|
|
Object Detection (HP)
|
100% |
15404
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
21433
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3597
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
39000
463.4 IPS |
|
|
Face Detection (Q)
|
100% |
49913
593.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7958
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94201
725.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
149806
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
20601
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244556
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
295869
381.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5498
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50964
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81258
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3357
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5837
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5815
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3943
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11807
203.4 IPS |
|
|
Machine Translation (Q)
|
98% |
13322
230.2 IPS |
