iPhone17,1
Geekbench AI Score
4550
Single Precision Score
7794
Half Precision Score
6196
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 03:15 PM |
| Views | 1 |
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% |
2026
376.7 IPS |
|
|
Image Classification (HP)
|
100% |
3377
627.9 IPS |
|
|
Image Classification (Q)
|
96% |
2265
423.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2935
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3388
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8832
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18048
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15353
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2145
170.1 IPS |
|
|
Object Detection (HP)
|
97% |
3829
304.9 IPS |
|
|
Object Detection (Q)
|
94% |
2681
213.7 IPS |
|
|
Face Detection (SP)
|
100% |
3653
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
7572
90.0 IPS |
|
|
Face Detection (Q)
|
100% |
4252
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7849
60.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14299
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10000
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24270
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37385
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30789
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5516
203.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6917
255.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4891
180.6 IPS |
|
|
Text Classification (SP)
|
100% |
3483
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
6073
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5795
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3816
65.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7106
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7123
123.1 IPS |
