iPhone 16 Pro
Geekbench AI Score
4379
Single Precision Score
7527
Half Precision Score
6019
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | December 11 2024 05:35 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1988
369.8 IPS |
|
|
Image Classification (HP)
|
100% |
3356
624.1 IPS |
|
|
Image Classification (Q)
|
96% |
2256
421.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1913
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2947
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3291
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8369
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
17161
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14589
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2048
162.5 IPS |
|
|
Object Detection (HP)
|
97% |
3727
296.7 IPS |
|
|
Object Detection (Q)
|
94% |
2627
209.4 IPS |
|
|
Face Detection (SP)
|
100% |
3422
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
6881
81.8 IPS |
|
|
Face Detection (Q)
|
100% |
4062
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7367
56.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13691
105.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9443
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22984
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36224
46.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29678
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5408
199.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6874
253.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4856
179.3 IPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5695
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5732
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3751
64.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6915
119.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6930
119.8 IPS |
