iPhone 16 Pro
Geekbench AI Score
4847
Single Precision Score
33131
Half Precision Score
45258
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | July 31 2025 01:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2076
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
15170
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20306
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18332
297.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24138
391.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10148
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
153254
178.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
292730
343.1 IPS |
|
|
Object Detection (SP)
|
100% |
2404
190.7 IPS |
|
|
Object Detection (HP)
|
100% |
16034
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
22194
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
4061
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
39841
473.4 IPS |
|
|
Face Detection (Q)
|
100% |
56690
673.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8492
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
96353
742.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
161137
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22283
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244626
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
300988
388.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6183
228.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56160
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86520
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3397
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4428
5.91 KIPS |
|
|
Text Classification (Q)
|
93% |
4251
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4334
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9988
172.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11198
193.5 IPS |
