iPhone17,2
Geekbench AI Score
4287
Single Precision Score
7394
Half Precision Score
5902
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | notakaos |
| Upload Date | September 20 2024 06:36 PM |
| Views | 12 |
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 | 3.97 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1943
361.4 IPS |
|
|
Image Classification (HP)
|
100% |
3292
612.3 IPS |
|
|
Image Classification (Q)
|
96% |
2194
409.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1867
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2802
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3231
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8036
9.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
16028
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13573
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1967
156.0 IPS |
|
|
Object Detection (HP)
|
97% |
3647
290.3 IPS |
|
|
Object Detection (Q)
|
94% |
2528
201.5 IPS |
|
|
Face Detection (SP)
|
100% |
3349
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
6979
82.9 IPS |
|
|
Face Detection (Q)
|
100% |
3942
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7161
55.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13351
103.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9236
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22610
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35522
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29552
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5301
195.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6772
250.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4816
177.8 IPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5830
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5835
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3719
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6936
119.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6984
120.7 IPS |
