iPhone17,2
Geekbench AI Score
4288
Single Precision Score
7410
Half Precision Score
5903
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 05:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.19 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1958
364.1 IPS |
|
|
Image Classification (HP)
|
100% |
3339
621.0 IPS |
|
|
Image Classification (Q)
|
96% |
2254
421.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2864
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3320
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8054
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
15989
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13769
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1989
157.8 IPS |
|
|
Object Detection (HP)
|
97% |
3662
291.5 IPS |
|
|
Object Detection (Q)
|
94% |
2546
203.0 IPS |
|
|
Face Detection (SP)
|
100% |
3420
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
7083
84.2 IPS |
|
|
Face Detection (Q)
|
100% |
3954
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7135
55.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13038
100.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9204
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21901
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35305
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28280
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5152
190.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6761
249.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4717
174.2 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5864
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5832
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3751
64.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6905
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6917
119.5 IPS |
