iPhone17,1
Geekbench AI Score
4632
Single Precision Score
7844
Half Precision Score
6261
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 03:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2023
376.2 IPS |
|
|
Image Classification (HP)
|
100% |
3365
625.8 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2960
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3396
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9440
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18985
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15935
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2170
172.1 IPS |
|
|
Object Detection (HP)
|
97% |
3857
307.1 IPS |
|
|
Object Detection (Q)
|
94% |
2691
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
3720
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
7678
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4306
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8023
61.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14362
111.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10066
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24924
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37764
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31227
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5653
208.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6955
256.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4998
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3436
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5845
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5819
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3825
65.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7147
123.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7105
122.8 IPS |
