iPhone17,1
Geekbench AI Score
4557
Single Precision Score
7803
Half Precision Score
6190
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 04:18 PM |
| Views | 2 |
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% |
2014
374.6 IPS |
|
|
Image Classification (HP)
|
100% |
3374
627.5 IPS |
|
|
Image Classification (Q)
|
96% |
2265
422.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2947
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3373
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8989
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18336
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15606
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2152
170.7 IPS |
|
|
Object Detection (HP)
|
97% |
3819
304.0 IPS |
|
|
Object Detection (Q)
|
94% |
2652
211.4 IPS |
|
|
Face Detection (SP)
|
100% |
3611
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
7391
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4227
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7711
59.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14164
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9765
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24207
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38281
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30688
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5635
208.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7018
259.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4964
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
3509
4.68 KIPS |
|
|
Text Classification (HP)
|
100% |
5888
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5855
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3789
65.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7258
125.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7102
122.7 IPS |
