iPhone17,2
Geekbench AI Score
4450
Single Precision Score
7702
Half Precision Score
6128
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | JeffreyDJ |
| Upload Date | September 21 2024 04:08 AM |
| Views | 6 |
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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1980
368.3 IPS |
|
|
Image Classification (HP)
|
100% |
3373
627.4 IPS |
|
|
Image Classification (Q)
|
96% |
2288
427.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1939
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2981
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3346
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8592
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17964
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15206
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2092
165.9 IPS |
|
|
Object Detection (HP)
|
97% |
3768
300.0 IPS |
|
|
Object Detection (Q)
|
94% |
2646
210.9 IPS |
|
|
Face Detection (SP)
|
100% |
3516
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
7385
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4162
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7594
58.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13782
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9625
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23395
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37255
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30386
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5484
202.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6857
253.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4898
180.8 IPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5888
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5823
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3764
64.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7053
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6991
120.8 IPS |
