iPhone17,3
Geekbench AI Score
4215
Single Precision Score
33173
Half Precision Score
46159
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 11:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1930
358.9 IPS |
|
|
Image Classification (HP)
|
100% |
14979
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
20783
3.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18071
292.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23725
384.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8002
9.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
151736
177.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
295273
346.1 IPS |
|
|
Object Detection (SP)
|
100% |
2061
163.5 IPS |
|
|
Object Detection (HP)
|
100% |
16349
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22479
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3276
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
42220
501.7 IPS |
|
|
Face Detection (Q)
|
100% |
56883
675.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7111
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95811
738.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
163611
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
21551
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245235
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
303962
392.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5188
191.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51095
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84757
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4759
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4791
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3557
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9966
171.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11682
201.9 IPS |
