iPhone 16 Pro
Geekbench AI Score
5806
Single Precision Score
6625
Half Precision Score
6068
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mcolsen |
| Upload Date | December 17 2024 11:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2956
549.8 IPS |
|
|
Image Classification (HP)
|
100% |
2426
451.1 IPS |
|
|
Image Classification (Q)
|
97% |
2835
529.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3539
57.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4435
71.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4404
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15718
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16518
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15589
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3342
265.1 IPS |
|
|
Object Detection (HP)
|
100% |
3508
278.3 IPS |
|
|
Object Detection (Q)
|
91% |
2878
230.0 IPS |
|
|
Face Detection (SP)
|
100% |
7727
91.8 IPS |
|
|
Face Detection (HP)
|
100% |
10757
127.8 IPS |
|
|
Face Detection (Q)
|
100% |
7243
86.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13311
102.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14446
111.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12639
98.8 IPS |
|
|
Style Transfer (SP)
|
100% |
33105
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39627
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
35572
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8060
297.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8443
311.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6895
254.6 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5845
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5869
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
918
15.9 IPS |
