ASUS System Product Name
Geekbench AI Score
2487
Single Precision Score
1148
Half Precision Score
2495
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | owcraftsman |
| Upload Date | November 05 2024 07:02 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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% |
1250
232.4 IPS |
|
|
Image Classification (HP)
|
100% |
387
72.0 IPS |
|
|
Image Classification (Q)
|
96% |
2140
399.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
946
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
503
8.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
1701
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7366
8.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
5044
5.89 IPS |
|
|
Pose Estimation (Q)
|
87% |
8415
9.94 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
100% |
490
38.8 IPS |
|
|
Object Detection (Q)
|
86% |
1210
97.3 IPS |
|
|
Face Detection (SP)
|
100% |
2512
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
1139
13.5 IPS |
|
|
Face Detection (Q)
|
96% |
3220
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6023
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1782
13.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
5250
42.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15943
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12742
16.4 IPS |
|
|
Style Transfer (Q)
|
87% |
14253
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1908
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1569
57.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1850
68.6 IPS |
|
|
Text Classification (SP)
|
100% |
965
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
425
567.4 IPS |
|
|
Text Classification (Q)
|
97% |
350
469.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (Q)
|
60% |
1618
36.1 IPS |
