iPhone17,2
Geekbench AI Score
4438
Single Precision Score
7640
Half Precision Score
6122
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 20 2024 04:50 PM |
| Views | 1 |
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% |
1985
369.1 IPS |
|
|
Image Classification (HP)
|
100% |
3366
625.9 IPS |
|
|
Image Classification (Q)
|
96% |
2271
424.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1922
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2922
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3332
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8689
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17760
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15220
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2084
165.3 IPS |
|
|
Object Detection (HP)
|
97% |
3734
297.3 IPS |
|
|
Object Detection (Q)
|
94% |
2645
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
3516
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
7327
87.1 IPS |
|
|
Face Detection (Q)
|
100% |
4116
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7645
58.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13841
107.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9692
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23297
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36823
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30265
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5387
198.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6855
253.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4955
183.0 IPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5843
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5826
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3715
64.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6945
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6975
120.5 IPS |
