iPhone 16 Pro
Geekbench AI Score
4294
Single Precision Score
7522
Half Precision Score
5911
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | richh- |
| Upload Date | December 26 2024 12:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2004
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
3377
628.0 IPS |
|
|
Image Classification (Q)
|
96% |
2269
423.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1915
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2948
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3302
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8302
9.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
16970
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14553
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2050
162.6 IPS |
|
|
Object Detection (HP)
|
97% |
3778
300.8 IPS |
|
|
Object Detection (Q)
|
94% |
2580
205.7 IPS |
|
|
Face Detection (SP)
|
100% |
3419
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
7197
85.5 IPS |
|
|
Face Detection (Q)
|
100% |
3939
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6920
53.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13145
101.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9050
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22011
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35204
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28361
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4984
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6722
248.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4582
169.2 IPS |
|
|
Text Classification (SP)
|
100% |
3465
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5926
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5858
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3629
62.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6849
118.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6827
118.0 IPS |
