Shinelon Computer CNH5L
Geekbench AI Score
3291
Single Precision Score
3327
Half Precision Score
4284
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ChisatoNya |
| Upload Date | May 11 2025 08:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Shinelon Computer CNH5L |
| Motherboard | Shinelon Computer CNH5L |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.59 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1713
318.5 IPS |
|
|
Image Classification (HP)
|
100% |
1698
315.9 IPS |
|
|
Image Classification (Q)
|
100% |
2719
505.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1030
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1018
16.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3349
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4482
5.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
4656
5.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
6769
7.94 IPS |
|
|
Object Detection (SP)
|
100% |
1996
158.4 IPS |
|
|
Object Detection (HP)
|
100% |
1963
155.7 IPS |
|
|
Object Detection (Q)
|
87% |
2969
238.1 IPS |
|
|
Face Detection (SP)
|
100% |
4962
59.0 IPS |
|
|
Face Detection (HP)
|
100% |
4979
59.2 IPS |
|
|
Face Detection (Q)
|
97% |
9593
114.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5766
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6093
46.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
7830
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16456
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16575
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
19698
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3330
123.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3357
124.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3962
146.8 IPS |
|
|
Text Classification (SP)
|
100% |
2055
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2033
2.71 KIPS |
|
|
Text Classification (Q)
|
91% |
648
870.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2937
50.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3073
52.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2998
51.6 IPS |
