iPhone 16
Geekbench AI Score
4390
Single Precision Score
33519
Half Precision Score
45021
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 04:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2050
381.3 IPS |
|
|
Image Classification (HP)
|
100% |
14735
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
19201
3.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18020
292.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23451
380.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8423
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
146746
171.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
294376
345.0 IPS |
|
|
Object Detection (SP)
|
100% |
2302
182.6 IPS |
|
|
Object Detection (HP)
|
100% |
15550
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21644
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3427
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
40073
476.1 IPS |
|
|
Face Detection (Q)
|
100% |
50127
595.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7569
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94574
728.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
150561
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
19486
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244514
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
293851
379.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5148
190.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51569
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80587
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3707
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6327
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6254
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3914
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9774
168.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10670
184.4 IPS |
