iPhone 16 Pro
Geekbench AI Score
4800
Single Precision Score
33369
Half Precision Score
44850
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 04:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2018
375.4 IPS |
|
|
Image Classification (HP)
|
100% |
13824
2.57 KIPS |
|
|
Image Classification (Q)
|
97% |
18117
3.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18072
293.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23679
383.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9809
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
153262
178.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293521
344.0 IPS |
|
|
Object Detection (SP)
|
100% |
2403
190.6 IPS |
|
|
Object Detection (HP)
|
100% |
15694
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
20913
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3850
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
40167
477.3 IPS |
|
|
Face Detection (Q)
|
100% |
53485
635.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8440
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94361
727.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
156185
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
24449
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245694
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
294873
380.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5889
217.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52263
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79934
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3764
5.02 KIPS |
|
|
Text Classification (HP)
|
99% |
6314
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6244
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4232
72.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9271
159.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10173
175.8 IPS |
