iPhone 16 Pro
Geekbench AI Score
4661
Single Precision Score
33090
Half Precision Score
45614
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | vanboquestaels |
| Upload Date | February 19 2025 01:09 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2036
378.6 IPS |
|
|
Image Classification (HP)
|
100% |
15171
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
19948
3.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18275
296.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24117
391.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9422
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
154429
180.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
294170
344.8 IPS |
|
|
Object Detection (SP)
|
100% |
2200
174.5 IPS |
|
|
Object Detection (HP)
|
100% |
16024
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
22851
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3717
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
41185
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
57125
678.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8058
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
96930
746.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
159756
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
25045
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244738
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
301037
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5937
219.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50666
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83893
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4634
6.19 KIPS |
|
|
Text Classification (Q)
|
93% |
4665
6.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3826
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10002
172.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11216
193.8 IPS |
