iPhone 16 Pro
Geekbench AI Score
5852
Single Precision Score
6662
Half Precision Score
6156
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | stableconfusion |
| Upload Date | December 24 2024 12:54 AM |
| Views | 3 |
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% |
3031
563.6 IPS |
|
|
Image Classification (HP)
|
100% |
2273
422.6 IPS |
|
|
Image Classification (Q)
|
97% |
2850
531.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3478
56.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4449
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4452
72.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15700
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16470
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15773
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
3189
253.0 IPS |
|
|
Object Detection (HP)
|
100% |
3475
275.7 IPS |
|
|
Object Detection (Q)
|
91% |
2876
229.8 IPS |
|
|
Face Detection (SP)
|
100% |
8323
98.9 IPS |
|
|
Face Detection (HP)
|
100% |
11175
132.8 IPS |
|
|
Face Detection (Q)
|
100% |
7746
92.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14071
108.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15263
117.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12620
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32730
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38386
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37272
48.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8012
295.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8298
306.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6814
251.6 IPS |
|
|
Text Classification (SP)
|
100% |
3461
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5999
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5852
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
913
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
935
16.2 IPS |
