iPhone 16
Geekbench AI Score
4252
Single Precision Score
33272
Half Precision Score
46301
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 09:19 PM |
| Views | 2 |
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% |
2005
372.8 IPS |
|
|
Image Classification (HP)
|
100% |
15355
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
21025
3.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18142
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23912
387.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8366
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
149549
174.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
292478
342.8 IPS |
|
|
Object Detection (SP)
|
100% |
2271
180.1 IPS |
|
|
Object Detection (HP)
|
100% |
16312
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22688
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3479
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
39928
474.4 IPS |
|
|
Face Detection (Q)
|
100% |
56975
677.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7676
59.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95353
734.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
159458
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
17201
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
244602
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
303367
391.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4700
173.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49976
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83817
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3374
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5109
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5156
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3890
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10292
177.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11397
197.0 IPS |
