iPhone17,1
Geekbench AI Score
5533
Single Precision Score
6470
Half Precision Score
5930
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | SoylentGreen |
| Upload Date | October 11 2024 08:12 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
3040
565.3 IPS |
|
|
Image Classification (HP)
|
100% |
2627
488.6 IPS |
|
|
Image Classification (Q)
|
97% |
2623
489.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3495
56.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4406
71.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4337
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15616
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16436
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15171
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
3261
258.6 IPS |
|
|
Object Detection (HP)
|
100% |
3696
293.2 IPS |
|
|
Object Detection (Q)
|
91% |
2711
216.7 IPS |
|
|
Face Detection (SP)
|
100% |
7830
93.0 IPS |
|
|
Face Detection (HP)
|
100% |
10724
127.4 IPS |
|
|
Face Detection (Q)
|
100% |
7360
87.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13249
102.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14282
110.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
10815
84.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26494
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27747
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31190
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6248
230.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8430
311.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6424
237.2 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5833
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5795
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
876
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1244
21.5 IPS |
