iPhone 16 Pro
Geekbench AI Score
4763
Single Precision Score
33245
Half Precision Score
46444
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gnu08 |
| Upload Date | November 14 2025 10:43 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2063
383.6 IPS |
|
|
Image Classification (HP)
|
100% |
15238
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20433
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18222
295.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24024
389.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9857
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153808
179.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
292852
343.2 IPS |
|
|
Object Detection (SP)
|
100% |
2363
187.4 IPS |
|
|
Object Detection (HP)
|
100% |
16359
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22867
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3984
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
40990
487.1 IPS |
|
|
Face Detection (Q)
|
100% |
57648
685.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8430
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95940
739.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
163200
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
21658
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245195
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
302543
390.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5919
218.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51995
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87065
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3455
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4573
6.10 KIPS |
|
|
Text Classification (Q)
|
93% |
4993
6.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4218
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10296
177.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11482
198.4 IPS |
