iPhone17,2
Geekbench AI Score
4533
Single Precision Score
7732
Half Precision Score
6189
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | gkoblavi |
| Upload Date | November 02 2024 11:36 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2000
372.0 IPS |
|
|
Image Classification (HP)
|
100% |
3365
625.8 IPS |
|
|
Image Classification (Q)
|
96% |
2271
424.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2930
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3378
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8906
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18112
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15466
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2150
170.6 IPS |
|
|
Object Detection (HP)
|
97% |
3796
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2680
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
3605
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
7466
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
4223
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7744
59.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14100
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9805
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24218
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37341
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30764
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5624
207.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6896
254.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4976
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5918
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5849
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3769
64.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7027
121.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7005
121.1 IPS |
