iPhone17,4
Geekbench AI Score
4275
Single Precision Score
7398
Half Precision Score
5907
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | September 21 2024 10:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,4 |
| Model ID | iPhone17,4 |
| Motherboard | D48AP |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1915
356.1 IPS |
|
|
Image Classification (HP)
|
100% |
3231
600.9 IPS |
|
|
Image Classification (Q)
|
96% |
2210
412.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1791
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2843
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3229
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8389
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
17606
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15022
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2055
163.0 IPS |
|
|
Object Detection (HP)
|
97% |
3716
295.8 IPS |
|
|
Object Detection (Q)
|
94% |
2594
206.7 IPS |
|
|
Face Detection (SP)
|
100% |
3268
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6815
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3939
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7487
57.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14005
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9580
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22523
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36550
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30143
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5149
190.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6710
247.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4734
174.8 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5922
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5898
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3554
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5899
101.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5865
101.4 IPS |
