iPhone 16 Pro
Geekbench AI Score
4825
Single Precision Score
33050
Half Precision Score
45705
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | May 17 2025 02:33 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2072
385.3 IPS |
|
|
Image Classification (HP)
|
100% |
15144
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20842
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2016
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18382
298.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24168
391.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10038
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
154039
179.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293064
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
2399
190.3 IPS |
|
|
Object Detection (HP)
|
100% |
16344
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22663
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
4059
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
41186
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
57173
679.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8508
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95338
734.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
159536
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21867
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245847
316.0 IPS |
|
|
Style Transfer (Q)
|
96% |
300231
387.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6124
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51111
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85125
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3402
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4376
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
4332
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4329
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10278
177.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11776
203.5 IPS |
