iPhone 16 Pro
Geekbench AI Score
4342
Single Precision Score
32932
Half Precision Score
44556
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | OstinMatus |
| Upload Date | November 29 2025 06:51 PM |
| Views | 7 |
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% |
1906
354.5 IPS |
|
|
Image Classification (HP)
|
100% |
14535
2.70 KIPS |
|
|
Image Classification (Q)
|
97% |
18805
3.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1706
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17946
290.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23559
381.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8476
9.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
143574
167.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
287913
337.5 IPS |
|
|
Object Detection (SP)
|
100% |
2207
175.0 IPS |
|
|
Object Detection (HP)
|
100% |
15488
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
20976
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3612
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
40343
479.4 IPS |
|
|
Face Detection (Q)
|
100% |
54428
646.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7738
59.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
93787
722.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
153923
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
20939
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244345
314.1 IPS |
|
|
Style Transfer (Q)
|
96% |
295004
380.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4531
167.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50931
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78274
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
3612
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
5962
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5891
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4095
70.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9214
158.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10115
174.8 IPS |
