System manufacturer System Product Name
Geekbench AI Score
2584
Single Precision Score
1069
Half Precision Score
3253
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 13 2024 06:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1865
346.8 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.5 IPS |
|
|
Image Classification (Q)
|
96% |
2949
550.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
804
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.81 IPS |
|
|
Image Segmentation (Q)
|
97% |
1907
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8176
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
4945
5.77 IPS |
|
|
Pose Estimation (Q)
|
86% |
8401
9.93 IPS |
|
|
Object Detection (SP)
|
100% |
1885
149.5 IPS |
|
|
Object Detection (HP)
|
100% |
470
37.3 IPS |
|
|
Object Detection (Q)
|
58% |
2226
243.2 IPS |
|
|
Face Detection (SP)
|
100% |
3645
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
1024
12.2 IPS |
|
|
Face Detection (Q)
|
96% |
6100
72.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6240
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1664
12.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
7108
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15026
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12589
16.2 IPS |
|
|
Style Transfer (Q)
|
87% |
12119
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1617
59.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1289
47.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1659
61.5 IPS |
|
|
Text Classification (SP)
|
100% |
813
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
391
522.4 IPS |
|
|
Text Classification (Q)
|
97% |
777
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
446
7.69 IPS |
|
|
Machine Translation (Q)
|
68% |
1864
36.0 IPS |
