iPhone 16
Geekbench AI Score
4633
Single Precision Score
33664
Half Precision Score
44832
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Boldi2010 |
| Upload Date | December 28 2025 03:39 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2065
384.0 IPS |
|
|
Image Classification (HP)
|
100% |
14550
2.71 KIPS |
|
|
Image Classification (Q)
|
97% |
17897
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17916
290.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23732
384.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9379
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
153497
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
294479
345.1 IPS |
|
|
Object Detection (SP)
|
100% |
2363
187.5 IPS |
|
|
Object Detection (HP)
|
100% |
15848
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21505
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3617
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
40669
483.2 IPS |
|
|
Face Detection (Q)
|
100% |
51330
609.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8221
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94441
727.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
148889
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
22018
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244727
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
296139
382.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5703
210.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51378
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80697
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3666
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
6215
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6198
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4014
69.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9822
169.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10773
186.2 IPS |
