iPhone 16 Pro
Geekbench AI Score
6680
Single Precision Score
7968
Half Precision Score
7983
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | March 26 2026 03:44 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3196
594.3 IPS |
|
|
Image Classification (HP)
|
100% |
3333
619.8 IPS |
|
|
Image Classification (Q)
|
96% |
3316
619.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4303
69.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4894
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4733
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15029
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17584
20.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
16902
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3461
274.6 IPS |
|
|
Object Detection (HP)
|
100% |
3495
277.2 IPS |
|
|
Object Detection (Q)
|
91% |
3583
286.3 IPS |
|
|
Face Detection (SP)
|
100% |
7627
90.6 IPS |
|
|
Face Detection (HP)
|
100% |
11329
134.6 IPS |
|
|
Face Detection (Q)
|
100% |
10631
126.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12897
99.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14867
114.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
14185
111.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31829
40.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34134
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38064
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7200
265.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8395
310.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6871
253.7 IPS |
|
|
Text Classification (SP)
|
100% |
7383
9.85 KIPS |
|
|
Text Classification (HP)
|
100% |
11473
15.3 KIPS |
|
|
Text Classification (Q)
|
93% |
11669
15.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
1488
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1860
32.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2406
41.6 IPS |
