iPhone 16
Geekbench AI Score
4565
Single Precision Score
33750
Half Precision Score
45439
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | menudenoel |
| Upload Date | December 21 2025 10:18 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2015
374.8 IPS |
|
|
Image Classification (HP)
|
100% |
14996
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
18697
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1804
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18118
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23646
383.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9007
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153417
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
294511
345.2 IPS |
|
|
Object Detection (SP)
|
100% |
2321
184.1 IPS |
|
|
Object Detection (HP)
|
100% |
15703
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21810
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
3590
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
40389
479.9 IPS |
|
|
Face Detection (Q)
|
100% |
52097
619.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8159
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94550
728.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
153390
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
21260
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244931
314.9 IPS |
|
|
Style Transfer (Q)
|
96% |
296870
383.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5509
203.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51245
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80897
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3720
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6315
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6281
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4055
69.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9681
166.8 IPS |
|
|
Machine Translation (Q)
|
98% |
10962
189.4 IPS |
