iPhone17,1
Geekbench AI Score
4445
Single Precision Score
7578
Half Precision Score
6119
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ksnyde |
| Upload Date | November 10 2024 10:33 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.69 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1983
368.8 IPS |
|
|
Image Classification (HP)
|
100% |
3363
625.3 IPS |
|
|
Image Classification (Q)
|
96% |
2287
427.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1945
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2892
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3353
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8484
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
17165
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14608
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2082
165.1 IPS |
|
|
Object Detection (HP)
|
97% |
3607
287.2 IPS |
|
|
Object Detection (Q)
|
94% |
2638
210.2 IPS |
|
|
Face Detection (SP)
|
100% |
3501
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
7233
85.9 IPS |
|
|
Face Detection (Q)
|
100% |
4129
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7554
58.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13935
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9689
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23353
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36402
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29741
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5495
202.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6865
253.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4922
181.8 IPS |
|
|
Text Classification (SP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5873
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
6031
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3799
65.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7020
121.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7052
121.9 IPS |
