iPhone 16 Pro
Geekbench AI Score
4509
Single Precision Score
33242
Half Precision Score
46605
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 08:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2016
375.0 IPS |
|
|
Image Classification (HP)
|
100% |
15517
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
21281
3.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1936
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18286
296.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24062
390.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8543
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
151831
177.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
291994
342.2 IPS |
|
|
Object Detection (SP)
|
100% |
2125
168.5 IPS |
|
|
Object Detection (HP)
|
100% |
16382
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22553
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3598
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
41266
490.3 IPS |
|
|
Face Detection (Q)
|
100% |
57735
686.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7664
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
96464
743.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
161459
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23962
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245703
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
300859
388.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5713
211.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49939
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87647
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5156
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5128
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3801
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9272
159.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11373
196.5 IPS |
