iPhone17,3
Geekbench AI Score
3968
Single Precision Score
4319
Half Precision Score
4205
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
784
145.8 IPS |
|
|
Image Classification (HP)
|
100% |
783
145.6 IPS |
|
|
Image Classification (Q)
|
97% |
957
178.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3057
49.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3574
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3106
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13579
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14024
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13059
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (HP)
|
100% |
1484
117.7 IPS |
|
|
Object Detection (Q)
|
91% |
1713
136.9 IPS |
|
|
Face Detection (SP)
|
100% |
7007
83.3 IPS |
|
|
Face Detection (HP)
|
100% |
9029
107.3 IPS |
|
|
Face Detection (Q)
|
100% |
6040
71.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11414
87.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12013
92.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9680
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29639
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32596
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30226
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4674
172.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3707
136.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4615
170.4 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5909
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5857
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
495
8.52 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.64 IPS |
|
|
Machine Translation (Q)
|
98% |
545
9.42 IPS |
