iPhone17,1
Geekbench AI Score
4464
Single Precision Score
7680
Half Precision Score
6122
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | jordan41902348 |
| Upload Date | September 23 2024 10:19 PM |
| Views | 12 |
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% |
2001
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
3345
622.0 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1934
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2892
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3347
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8705
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17745
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15126
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2085
165.4 IPS |
|
|
Object Detection (HP)
|
97% |
3711
295.4 IPS |
|
|
Object Detection (Q)
|
94% |
2637
210.2 IPS |
|
|
Face Detection (SP)
|
100% |
3543
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
7395
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
4136
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7572
58.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14145
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9643
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23580
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37303
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30285
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5473
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6895
254.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4918
181.6 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5942
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5862
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3782
65.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7010
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7007
121.1 IPS |
