iPhone 16 Pro
Geekbench AI Score
4477
Single Precision Score
7681
Half Precision Score
6105
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 05:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2036
378.7 IPS |
|
|
Image Classification (HP)
|
100% |
3373
627.4 IPS |
|
|
Image Classification (Q)
|
96% |
2258
421.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2920
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3364
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8627
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17708
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14917
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2122
168.3 IPS |
|
|
Object Detection (HP)
|
97% |
3788
301.6 IPS |
|
|
Object Detection (Q)
|
94% |
2607
207.8 IPS |
|
|
Face Detection (SP)
|
100% |
3586
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
7525
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4160
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7545
58.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13875
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9515
74.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23034
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35985
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29869
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5398
199.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6897
254.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4904
181.1 IPS |
|
|
Text Classification (SP)
|
100% |
3420
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5886
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5916
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3849
66.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7095
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7106
122.8 IPS |
