iPhone 16 Pro
Geekbench AI Score
4497
Single Precision Score
32921
Half Precision Score
46191
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 06:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2011
374.0 IPS |
|
|
Image Classification (HP)
|
100% |
15561
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
20429
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18220
295.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24162
391.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8690
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153604
179.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
292702
343.1 IPS |
|
|
Object Detection (SP)
|
100% |
2158
171.2 IPS |
|
|
Object Detection (HP)
|
100% |
16278
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22793
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3592
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
41244
490.1 IPS |
|
|
Face Detection (Q)
|
100% |
58504
695.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7621
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95081
732.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
164686
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23580
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244507
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
300561
387.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5439
200.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49586
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83173
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4791
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4782
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3837
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9261
159.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11658
201.5 IPS |
