iPhone17,3
Geekbench AI Score
3839
Single Precision Score
4194
Half Precision Score
4164
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 04:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
741
137.9 IPS |
|
|
Image Classification (HP)
|
100% |
763
141.9 IPS |
|
|
Image Classification (Q)
|
97% |
775
144.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2923
47.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3677
59.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3100
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13558
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13929
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13269
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1597
126.6 IPS |
|
|
Object Detection (HP)
|
100% |
1368
108.5 IPS |
|
|
Object Detection (Q)
|
91% |
1843
147.3 IPS |
|
|
Face Detection (SP)
|
100% |
6811
80.9 IPS |
|
|
Face Detection (HP)
|
100% |
8391
99.7 IPS |
|
|
Face Detection (Q)
|
100% |
6117
72.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11332
87.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11782
90.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10198
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29672
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31954
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30831
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3465
128.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3441
127.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3924
144.9 IPS |
|
|
Text Classification (SP)
|
100% |
3441
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5908
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5855
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
543
9.35 IPS |
|
|
Machine Translation (HP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (Q)
|
98% |
604
10.4 IPS |
