iPhone17,1
Geekbench AI Score
4612
Single Precision Score
7858
Half Precision Score
6262
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | asymptotepmo |
| Upload Date | November 08 2024 05:26 PM |
| Views | 5 |
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% |
2024
376.3 IPS |
|
|
Image Classification (HP)
|
100% |
3386
629.7 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1985
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3045
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3401
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9205
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18622
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15869
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2138
169.6 IPS |
|
|
Object Detection (HP)
|
97% |
3841
305.8 IPS |
|
|
Object Detection (Q)
|
94% |
2683
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
3704
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
7663
91.1 IPS |
|
|
Face Detection (Q)
|
100% |
4302
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7921
61.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14369
111.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9964
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24528
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37887
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31077
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5812
214.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6963
257.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4989
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5873
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5951
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3842
66.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7137
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7130
123.2 IPS |
