System manufacturer System Product Name
Geekbench AI Score
2051
Single Precision Score
922
Half Precision Score
2064
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | fearlipe |
| Upload Date | December 19 2024 03:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450M-A |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1587
295.1 IPS |
|
|
Image Classification (HP)
|
100% |
360
66.9 IPS |
|
|
Image Classification (Q)
|
96% |
1993
372.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
809
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
450
7.29 IPS |
|
|
Image Segmentation (Q)
|
97% |
1153
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3454
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2563
2.99 IPS |
|
|
Pose Estimation (Q)
|
86% |
3938
4.66 IPS |
|
|
Object Detection (SP)
|
100% |
1423
112.9 IPS |
|
|
Object Detection (HP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (Q)
|
58% |
1384
151.2 IPS |
|
|
Face Detection (SP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
1007
12.0 IPS |
|
|
Face Detection (Q)
|
96% |
4206
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4510
34.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1427
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
4998
39.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9074
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6807
8.75 IPS |
|
|
Style Transfer (Q)
|
87% |
8422
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1327
49.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1210
44.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1305
48.3 IPS |
|
|
Text Classification (SP)
|
100% |
944
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
435
580.3 IPS |
|
|
Text Classification (Q)
|
97% |
325
436.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1287
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
474
8.16 IPS |
|
|
Machine Translation (Q)
|
68% |
1495
28.9 IPS |
