iPhone 16 Pro
Geekbench AI Score
1951
Single Precision Score
3354
Half Precision Score
2640
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 24 2024 01:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
865
160.9 IPS |
|
|
Image Classification (HP)
|
100% |
1354
251.8 IPS |
|
|
Image Classification (Q)
|
96% |
916
171.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
867
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1403
22.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4015
4.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
8028
9.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
6882
8.07 IPS |
|
|
Object Detection (SP)
|
100% |
971
77.0 IPS |
|
|
Object Detection (HP)
|
97% |
1641
130.7 IPS |
|
|
Object Detection (Q)
|
94% |
1138
90.7 IPS |
|
|
Face Detection (SP)
|
100% |
1556
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
3206
38.1 IPS |
|
|
Face Detection (Q)
|
100% |
1703
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3590
27.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
6227
48.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
4272
33.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10047
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15875
20.4 IPS |
|
|
Style Transfer (Q)
|
96% |
13066
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2496
92.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2916
107.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2071
76.5 IPS |
|
|
Text Classification (SP)
|
100% |
1402
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2398
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2388
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1393
24.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3459
59.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3479
60.1 IPS |
