iPhone17,2
Geekbench AI Score
4418
Single Precision Score
7622
Half Precision Score
6083
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | dwc22 |
| Upload Date | September 22 2024 04:39 AM |
| Views | 2 |
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% |
1994
370.8 IPS |
|
|
Image Classification (HP)
|
100% |
3383
629.1 IPS |
|
|
Image Classification (Q)
|
96% |
2269
423.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2914
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3363
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8635
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17962
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15124
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2081
165.1 IPS |
|
|
Object Detection (HP)
|
97% |
3701
294.6 IPS |
|
|
Object Detection (Q)
|
94% |
2576
205.3 IPS |
|
|
Face Detection (SP)
|
100% |
3383
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
7197
85.5 IPS |
|
|
Face Detection (Q)
|
100% |
4105
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7522
58.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13782
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9635
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23041
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36988
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29904
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5466
201.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6779
250.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4892
180.6 IPS |
|
|
Text Classification (SP)
|
100% |
3433
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5825
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5796
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3750
64.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6975
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6961
120.3 IPS |
