iPhone17,2
Geekbench AI Score
4326
Single Precision Score
7530
Half Precision Score
5944
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | mmomega |
| Upload Date | September 21 2024 05:09 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% |
1915
356.1 IPS |
|
|
Image Classification (HP)
|
100% |
3341
621.3 IPS |
|
|
Image Classification (Q)
|
96% |
2269
423.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2865
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3295
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8342
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
16951
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14387
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2043
162.0 IPS |
|
|
Object Detection (HP)
|
97% |
3709
295.3 IPS |
|
|
Object Detection (Q)
|
94% |
2326
185.4 IPS |
|
|
Face Detection (SP)
|
100% |
3374
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
7058
83.9 IPS |
|
|
Face Detection (Q)
|
100% |
3986
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7380
56.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13650
105.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9339
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22545
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36103
46.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29657
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5322
196.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6866
253.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4886
180.4 IPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5983
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5955
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3701
63.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6817
117.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6853
118.4 IPS |
