iPhone17,3
Geekbench AI Score
4023
Single Precision Score
4434
Half Precision Score
4225
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 07 2024 07:12 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% |
887
165.0 IPS |
|
|
Image Classification (HP)
|
100% |
826
153.6 IPS |
|
|
Image Classification (Q)
|
97% |
892
166.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3001
48.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3689
59.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3296
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13603
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14033
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13318
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1673
132.7 IPS |
|
|
Object Detection (HP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (Q)
|
91% |
1960
156.6 IPS |
|
|
Face Detection (SP)
|
100% |
7251
86.2 IPS |
|
|
Face Detection (HP)
|
100% |
9471
112.5 IPS |
|
|
Face Detection (Q)
|
100% |
6221
73.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11456
88.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12008
92.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
10128
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29650
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32826
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30956
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4341
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3674
135.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4631
171.0 IPS |
|
|
Text Classification (SP)
|
100% |
3436
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5858
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5830
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
499
8.60 IPS |
|
|
Machine Translation (HP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (Q)
|
98% |
449
7.75 IPS |
