iPhone 16 Pro
Geekbench AI Score
4585
Single Precision Score
33813
Half Precision Score
45408
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 22 2025 06:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2057
382.5 IPS |
|
|
Image Classification (HP)
|
100% |
14505
2.70 KIPS |
|
|
Image Classification (Q)
|
97% |
17458
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1855
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18063
292.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23661
383.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9000
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
152016
177.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
291315
341.4 IPS |
|
|
Object Detection (SP)
|
100% |
2326
184.5 IPS |
|
|
Object Detection (HP)
|
100% |
15421
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
20966
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3737
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
39902
474.1 IPS |
|
|
Face Detection (Q)
|
100% |
53172
631.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8169
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94021
724.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
154142
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
22400
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245392
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
297420
383.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5439
200.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52266
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80747
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3404
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5880
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5898
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4066
70.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11243
193.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12726
219.9 IPS |
