iPhone17,1
Geekbench AI Score
4045
Single Precision Score
7125
Half Precision Score
5675
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 07:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1863
346.5 IPS |
|
|
Image Classification (HP)
|
100% |
3108
578.1 IPS |
|
|
Image Classification (Q)
|
96% |
2201
410.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1737
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2862
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3164
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7506
8.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
16036
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12591
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1884
149.5 IPS |
|
|
Object Detection (HP)
|
97% |
3440
273.9 IPS |
|
|
Object Detection (Q)
|
94% |
2461
196.2 IPS |
|
|
Face Detection (SP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6523
77.5 IPS |
|
|
Face Detection (Q)
|
100% |
3740
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6969
53.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13035
100.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8742
68.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20650
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35050
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28065
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5028
185.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6535
241.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4676
172.7 IPS |
|
|
Text Classification (SP)
|
100% |
3476
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
6003
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5981
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3336
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5885
101.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6259
108.2 IPS |
