iPhone 16
Geekbench AI Score
4328
Single Precision Score
33523
Half Precision Score
45029
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gumieAGT |
| Upload Date | October 06 2025 11:38 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2042
379.8 IPS |
|
|
Image Classification (HP)
|
100% |
14966
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
18950
3.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1799
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18100
293.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23652
383.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8011
9.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
142122
165.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
284672
333.7 IPS |
|
|
Object Detection (SP)
|
100% |
2258
179.1 IPS |
|
|
Object Detection (HP)
|
100% |
16040
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21771
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
3425
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
40064
476.0 IPS |
|
|
Face Detection (Q)
|
100% |
52409
622.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7292
56.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94520
728.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
147244
1.15 KIPS |
|
|
Style Transfer (SP)
|
100% |
19240
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
242263
311.4 IPS |
|
|
Style Transfer (Q)
|
96% |
296100
382.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4953
182.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51087
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80471
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3714
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6369
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6187
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3935
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9725
167.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10846
187.4 IPS |
