iPhone 16 Pro
Geekbench AI Score
4600
Single Precision Score
33261
Half Precision Score
45159
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 05:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2048
380.8 IPS |
|
|
Image Classification (HP)
|
100% |
14742
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
18690
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1853
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18138
294.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23687
384.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9057
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
146476
170.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
291519
341.7 IPS |
|
|
Object Detection (SP)
|
100% |
2323
184.3 IPS |
|
|
Object Detection (HP)
|
100% |
15376
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
21286
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3702
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
40689
483.5 IPS |
|
|
Face Detection (Q)
|
100% |
54732
650.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8100
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
93497
720.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
156707
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
21740
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244373
314.1 IPS |
|
|
Style Transfer (Q)
|
96% |
294282
379.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5319
196.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51286
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79667
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3663
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
6103
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6072
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4187
72.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9457
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
10517
181.8 IPS |
