iPhone17,1
Geekbench AI Score
4489
Single Precision Score
7687
Half Precision Score
6154
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ammonl |
| Upload Date | September 21 2024 07:25 PM |
| Views | 11 |
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% |
3394
631.2 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1940
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2903
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3370
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8634
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18089
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15353
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2116
167.8 IPS |
|
|
Object Detection (HP)
|
97% |
3734
297.3 IPS |
|
|
Object Detection (Q)
|
94% |
2653
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
3640
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
7429
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
4134
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7657
59.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14039
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9793
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23571
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36914
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30626
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5480
202.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6753
249.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4869
179.8 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5890
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5866
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3832
66.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7077
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7041
121.7 IPS |
