iPhone 16
Geekbench AI Score
4466
Single Precision Score
33770
Half Precision Score
45620
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 01:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2048
380.9 IPS |
|
|
Image Classification (HP)
|
100% |
14723
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
19529
3.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18042
292.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23652
383.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8263
9.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
149090
174.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
294459
345.1 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.3 IPS |
|
|
Object Detection (HP)
|
100% |
15727
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21817
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
3584
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
40766
484.4 IPS |
|
|
Face Detection (Q)
|
100% |
52691
626.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7864
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94835
730.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
157338
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
20659
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244855
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
294492
380.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5380
198.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52878
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80222
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6380
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6252
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3956
68.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9698
167.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10746
185.7 IPS |
