iPhone 16 Pro
Geekbench AI Score
4606
Single Precision Score
32357
Half Precision Score
43801
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | mojay0103 |
| Upload Date | July 10 2025 10:10 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2085
387.8 IPS |
|
|
Image Classification (HP)
|
100% |
15323
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20552
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1993
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18290
296.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24062
390.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9072
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
151668
177.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
290789
340.8 IPS |
|
|
Object Detection (SP)
|
100% |
2341
185.7 IPS |
|
|
Object Detection (HP)
|
100% |
16150
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22442
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3848
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
40132
476.9 IPS |
|
|
Face Detection (Q)
|
100% |
57075
678.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8129
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94790
730.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
159183
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
20073
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244746
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
300995
388.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5363
198.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50030
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83783
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
3903
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3233
4.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4282
73.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10081
173.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10875
187.9 IPS |
