iPhone17,3
Geekbench AI Score
4124
Single Precision Score
7182
Half Precision Score
5704
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 04:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,3 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1926
358.1 IPS |
|
|
Image Classification (HP)
|
100% |
3200
595.1 IPS |
|
|
Image Classification (Q)
|
96% |
2181
407.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1771
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2842
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3221
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7997
9.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
16220
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13905
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1957
155.2 IPS |
|
|
Object Detection (HP)
|
97% |
3569
284.1 IPS |
|
|
Object Detection (Q)
|
94% |
2503
199.5 IPS |
|
|
Face Detection (SP)
|
100% |
3128
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6652
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3747
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6889
53.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13097
101.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
8897
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21188
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34404
44.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28075
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4865
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6681
246.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4631
171.0 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5890
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5855
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3515
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5887
101.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5878
101.6 IPS |
