iPhone 16 Pro
Geekbench AI Score
6164
Single Precision Score
6773
Half Precision Score
6748
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | May 13 2025 01:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2941
547.0 IPS |
|
|
Image Classification (HP)
|
100% |
1873
348.2 IPS |
|
|
Image Classification (Q)
|
96% |
3091
577.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4387
71.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4889
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4703
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15646
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16465
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16084
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
3152
250.0 IPS |
|
|
Object Detection (HP)
|
100% |
3422
271.5 IPS |
|
|
Object Detection (Q)
|
92% |
3383
270.1 IPS |
|
|
Face Detection (SP)
|
100% |
8103
96.3 IPS |
|
|
Face Detection (HP)
|
100% |
11003
130.7 IPS |
|
|
Face Detection (Q)
|
100% |
8840
105.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14075
108.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15212
117.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
13375
104.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32928
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38442
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38565
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8030
296.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8280
305.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7535
278.2 IPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5867
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5836
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1222
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1235
21.3 IPS |
