ASUS System Product Name
Geekbench AI Score
2394
Single Precision Score
974
Half Precision Score
3599
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MULTICORE |
| Upload Date | June 13 2025 08:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 3990X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG ZENITH II EXTREME ALPHA |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3990X |
| Topology | 1 Processor, 64 Cores, 128 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1304
242.6 IPS |
|
|
Image Classification (HP)
|
100% |
326
60.7 IPS |
|
|
Image Classification (Q)
|
96% |
2683
501.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
909
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
430
6.97 IPS |
|
|
Image Segmentation (Q)
|
97% |
2045
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13263
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4798
5.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
17405
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
1410
111.8 IPS |
|
|
Object Detection (HP)
|
100% |
367
29.1 IPS |
|
|
Object Detection (Q)
|
58% |
2391
261.2 IPS |
|
|
Face Detection (SP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
852
10.1 IPS |
|
|
Face Detection (Q)
|
96% |
5688
67.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5488
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1565
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8349
66.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19971
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11703
15.0 IPS |
|
|
Style Transfer (Q)
|
87% |
20205
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1420
52.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1455
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1213
45.0 IPS |
|
|
Text Classification (SP)
|
100% |
739
986.2 IPS |
|
|
Text Classification (HP)
|
100% |
381
508.3 IPS |
|
|
Text Classification (Q)
|
97% |
834
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
363
6.26 IPS |
|
|
Machine Translation (Q)
|
68% |
1647
31.8 IPS |
