iPhone 16 Pro
Geekbench AI Score
6098
Single Precision Score
7026
Half Precision Score
6867
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | aferreiro77 |
| Upload Date | July 08 2025 01:03 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2952
549.0 IPS |
|
|
Image Classification (HP)
|
100% |
2641
491.2 IPS |
|
|
Image Classification (Q)
|
96% |
3146
587.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4436
71.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4923
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4762
77.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15721
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17223
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17142
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3176
251.9 IPS |
|
|
Object Detection (HP)
|
100% |
3461
274.5 IPS |
|
|
Object Detection (Q)
|
92% |
3446
275.1 IPS |
|
|
Face Detection (SP)
|
100% |
7743
92.0 IPS |
|
|
Face Detection (HP)
|
100% |
10841
128.8 IPS |
|
|
Face Detection (Q)
|
100% |
8672
103.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13018
100.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14647
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
13978
109.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33119
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38860
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38888
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8004
295.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8296
306.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7532
278.1 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5923
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5880
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1263
21.8 IPS |
