iPhone17,1
Geekbench AI Score
4301
Single Precision Score
7514
Half Precision Score
6041
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | September 27 2024 03:50 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1837
341.6 IPS |
|
|
Image Classification (HP)
|
100% |
3303
614.2 IPS |
|
|
Image Classification (Q)
|
96% |
2246
419.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1757
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2837
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3244
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8029
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
16371
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14710
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2050
162.6 IPS |
|
|
Object Detection (HP)
|
97% |
3697
294.3 IPS |
|
|
Object Detection (Q)
|
94% |
2604
207.5 IPS |
|
|
Face Detection (SP)
|
100% |
3396
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
7153
85.0 IPS |
|
|
Face Detection (Q)
|
100% |
4048
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7556
58.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13831
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9597
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22946
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36942
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30276
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5461
201.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6884
254.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4892
180.7 IPS |
|
|
Text Classification (SP)
|
100% |
3420
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5856
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5830
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3712
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6871
118.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6921
119.6 IPS |
