ASUS System Product Name
Geekbench AI Score
2134
Single Precision Score
1003
Half Precision Score
2129
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | xmetrix |
| Upload Date | September 08 2024 07:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII HERO (WI-FI) |
| Power Plan | AMD Ryzen High Performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1081
201.0 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.4 IPS |
|
|
Image Classification (Q)
|
96% |
1878
350.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
557
9.03 IPS |
|
|
Image Segmentation (Q)
|
97% |
1563
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5167
6.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
3916
4.57 IPS |
|
|
Pose Estimation (Q)
|
87% |
6726
7.94 IPS |
|
|
Object Detection (SP)
|
100% |
1256
99.6 IPS |
|
|
Object Detection (HP)
|
100% |
422
33.5 IPS |
|
|
Object Detection (Q)
|
86% |
1012
81.4 IPS |
|
|
Face Detection (SP)
|
100% |
2247
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
1009
12.0 IPS |
|
|
Face Detection (Q)
|
96% |
2828
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4904
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1516
11.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
4413
35.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11768
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9696
12.5 IPS |
|
|
Style Transfer (Q)
|
87% |
11780
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1477
54.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1427
52.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1601
59.3 IPS |
|
|
Text Classification (SP)
|
100% |
851
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
370
494.5 IPS |
|
|
Text Classification (Q)
|
97% |
319
427.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
409
7.04 IPS |
|
|
Machine Translation (Q)
|
60% |
1276
28.5 IPS |
