Generic
Geekbench AI Score
2958
Single Precision Score
2947
Half Precision Score
3313
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kyk |
| Upload Date | August 22 2024 06:24 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B450 Steel Legend |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2052
381.7 IPS |
|
|
Image Classification (HP)
|
100% |
2005
372.9 IPS |
|
|
Image Classification (Q)
|
100% |
2140
398.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
848
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
876
14.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2401
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4730
5.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
4722
5.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
5138
6.03 IPS |
|
|
Object Detection (SP)
|
100% |
1908
151.4 IPS |
|
|
Object Detection (HP)
|
100% |
1899
150.6 IPS |
|
|
Object Detection (Q)
|
87% |
2284
183.1 IPS |
|
|
Face Detection (SP)
|
100% |
4876
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
4933
58.6 IPS |
|
|
Face Detection (Q)
|
97% |
7187
85.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5458
42.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
5462
42.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
5912
46.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13595
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13484
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
14687
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2712
100.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2669
98.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3006
111.3 IPS |
|
|
Text Classification (SP)
|
100% |
1275
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1248
1.67 KIPS |
|
|
Text Classification (Q)
|
91% |
796
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2616
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2593
44.7 IPS |
|
|
Machine Translation (Q)
|
90% |
1774
30.8 IPS |
