iPhone 16 Pro
Geekbench AI Score
4570
Single Precision Score
33311
Half Precision Score
46693
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 10:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1934
359.7 IPS |
|
|
Image Classification (HP)
|
100% |
15812
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
21382
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18270
296.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24223
392.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8877
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
152897
178.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293441
343.9 IPS |
|
|
Object Detection (SP)
|
100% |
2182
173.1 IPS |
|
|
Object Detection (HP)
|
100% |
16440
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22587
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3677
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
40997
487.1 IPS |
|
|
Face Detection (Q)
|
100% |
59291
704.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7921
61.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95425
735.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
162330
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24336
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245587
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
299844
386.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5804
214.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50484
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84818
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3443
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4746
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5102
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3837
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10066
173.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11493
198.6 IPS |
