iPhone 16 Pro
Geekbench AI Score
4651
Single Precision Score
33476
Half Precision Score
45094
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 07:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2052
381.7 IPS |
|
|
Image Classification (HP)
|
100% |
14774
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
18932
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1856
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18115
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23583
382.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9188
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
152107
177.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
291629
341.8 IPS |
|
|
Object Detection (SP)
|
100% |
2327
184.5 IPS |
|
|
Object Detection (HP)
|
100% |
15719
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21189
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3689
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
39994
475.2 IPS |
|
|
Face Detection (Q)
|
100% |
53261
632.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8266
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94360
727.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
151986
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
22404
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245003
315.0 IPS |
|
|
Style Transfer (Q)
|
96% |
295072
380.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5499
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51279
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80781
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3707
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6145
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6191
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4184
72.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9481
163.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10551
182.3 IPS |
