iPhone 16 Pro
Geekbench AI Score
6053
Single Precision Score
6998
Half Precision Score
6654
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | 1Dnepr |
| Upload Date | April 06 2025 05:17 PM |
| Views | 2 |
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% |
2958
550.0 IPS |
|
|
Image Classification (HP)
|
100% |
2895
538.4 IPS |
|
|
Image Classification (Q)
|
96% |
3077
574.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4391
71.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4874
79.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4701
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15573
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16201
18.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
15883
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
3118
247.3 IPS |
|
|
Object Detection (HP)
|
100% |
3360
266.5 IPS |
|
|
Object Detection (Q)
|
92% |
3074
245.4 IPS |
|
|
Face Detection (SP)
|
100% |
7464
88.7 IPS |
|
|
Face Detection (HP)
|
100% |
10587
125.8 IPS |
|
|
Face Detection (Q)
|
100% |
8357
99.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13592
104.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14417
111.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
13260
103.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32671
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36892
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
37480
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8084
298.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8422
311.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7562
279.2 IPS |
|
|
Text Classification (SP)
|
100% |
3400
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
6003
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5972
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1285
22.2 IPS |
