iPhone 16 Pro
Geekbench AI Score
6038
Single Precision Score
6918
Half Precision Score
6742
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 10 2025 11:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3014
560.6 IPS |
|
|
Image Classification (HP)
|
100% |
2142
398.3 IPS |
|
|
Image Classification (Q)
|
96% |
3103
579.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4301
69.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4893
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4732
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14967
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17407
20.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17050
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3337
264.7 IPS |
|
|
Object Detection (HP)
|
100% |
3424
271.6 IPS |
|
|
Object Detection (Q)
|
92% |
3116
248.7 IPS |
|
|
Face Detection (SP)
|
100% |
7932
94.2 IPS |
|
|
Face Detection (HP)
|
100% |
11091
131.8 IPS |
|
|
Face Detection (Q)
|
100% |
8678
103.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13605
104.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15880
122.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
13814
107.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31685
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39651
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
39656
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7493
276.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8062
297.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7242
267.4 IPS |
|
|
Text Classification (SP)
|
100% |
3344
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
5822
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5822
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1227
21.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1241
21.4 IPS |
