iPhone 16 Pro
Geekbench AI Score
4788
Single Precision Score
5811
Half Precision Score
4793
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 05:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3116
579.5 IPS |
|
|
Image Classification (HP)
|
100% |
2801
521.0 IPS |
|
|
Image Classification (Q)
|
97% |
2907
542.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3493
56.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4407
71.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4359
70.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15578
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16416
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15448
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3261
258.7 IPS |
|
|
Object Detection (HP)
|
100% |
3698
293.3 IPS |
|
|
Object Detection (Q)
|
91% |
3123
249.6 IPS |
|
|
Face Detection (SP)
|
100% |
7849
93.3 IPS |
|
|
Face Detection (HP)
|
100% |
10652
126.6 IPS |
|
|
Face Detection (Q)
|
100% |
7120
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13190
101.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12340
95.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12116
94.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12762
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38356
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30058
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5658
208.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3350
123.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2083
76.9 IPS |
|
|
Text Classification (SP)
|
100% |
2777
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4742
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4755
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
552
9.51 IPS |
|
|
Machine Translation (HP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (Q)
|
98% |
408
7.06 IPS |
