iPhone17,2
Geekbench AI Score
4051
Single Precision Score
7180
Half Precision Score
5660
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | mrxoom1974 |
| Upload Date | September 20 2024 04:27 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1865
346.8 IPS |
|
|
Image Classification (HP)
|
100% |
3231
600.9 IPS |
|
|
Image Classification (Q)
|
96% |
2186
408.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2615
42.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3002
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7428
8.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
15680
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13417
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1873
148.5 IPS |
|
|
Object Detection (HP)
|
97% |
3532
281.2 IPS |
|
|
Object Detection (Q)
|
94% |
2503
199.5 IPS |
|
|
Face Detection (SP)
|
100% |
3248
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
6810
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
3784
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6905
53.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
12806
99.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9024
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21366
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34326
44.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26697
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4678
172.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6527
241.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4394
162.3 IPS |
|
|
Text Classification (SP)
|
100% |
3307
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
5961
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5931
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3542
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6689
115.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6455
111.5 IPS |
