iPhone17,1
Geekbench AI Score
4478
Single Precision Score
7730
Half Precision Score
6171
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | neilco |
| Upload Date | September 21 2024 08:47 AM |
| Views | 4 |
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% |
1987
369.6 IPS |
|
|
Image Classification (HP)
|
100% |
3352
623.3 IPS |
|
|
Image Classification (Q)
|
96% |
2276
425.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2925
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3352
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8812
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18217
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15416
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2079
164.9 IPS |
|
|
Object Detection (HP)
|
97% |
3806
303.0 IPS |
|
|
Object Detection (Q)
|
94% |
2652
211.4 IPS |
|
|
Face Detection (SP)
|
100% |
3592
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
7500
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
4214
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7729
59.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14103
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9852
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24161
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37041
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30590
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5372
198.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6884
254.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4845
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
3439
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5918
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5933
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3721
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7022
121.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7037
121.6 IPS |
