iPhone17,3
Geekbench AI Score
4127
Single Precision Score
7152
Half Precision Score
5711
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1900
353.2 IPS |
|
|
Image Classification (HP)
|
100% |
3188
592.8 IPS |
|
|
Image Classification (Q)
|
96% |
2179
406.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2740
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3158
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7831
9.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
16349
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14001
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1940
153.9 IPS |
|
|
Object Detection (HP)
|
97% |
3606
287.1 IPS |
|
|
Object Detection (Q)
|
94% |
2506
199.8 IPS |
|
|
Face Detection (SP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6621
78.7 IPS |
|
|
Face Detection (Q)
|
100% |
3743
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6974
53.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
12905
99.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8949
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21420
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34299
44.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28189
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5009
185.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6668
246.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4552
168.1 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5918
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
6076
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3562
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5884
101.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5863
101.3 IPS |
