iPhone 16 Pro
Geekbench AI Score
6091
Single Precision Score
7065
Half Precision Score
6664
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 10 2025 10:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3057
568.4 IPS |
|
|
Image Classification (HP)
|
100% |
2996
557.2 IPS |
|
|
Image Classification (Q)
|
96% |
3131
584.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4395
71.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4913
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4713
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15472
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16500
19.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
15876
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
3145
249.4 IPS |
|
|
Object Detection (HP)
|
100% |
3452
273.8 IPS |
|
|
Object Detection (Q)
|
92% |
3150
251.5 IPS |
|
|
Face Detection (SP)
|
100% |
7655
91.0 IPS |
|
|
Face Detection (HP)
|
100% |
10661
126.7 IPS |
|
|
Face Detection (Q)
|
100% |
8550
101.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13450
103.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14565
112.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
13458
105.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32661
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37346
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
37196
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8070
298.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8429
311.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7248
267.6 IPS |
|
|
Text Classification (SP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5870
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5871
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1176
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1288
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1286
22.2 IPS |
