iPhone17,3
Geekbench AI Score
4226
Single Precision Score
7309
Half Precision Score
5812
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 04:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
2174
405.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2822
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3246
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8187
9.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
17095
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14471
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2009
159.4 IPS |
|
|
Object Detection (HP)
|
97% |
3690
293.8 IPS |
|
|
Object Detection (Q)
|
94% |
2562
204.2 IPS |
|
|
Face Detection (SP)
|
100% |
3210
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6791
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3894
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7212
55.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13528
104.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9167
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22225
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36004
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29147
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5210
192.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6670
246.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4680
172.8 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5875
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5881
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3568
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5894
101.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5872
101.5 IPS |
