ASUS System Product Name
Geekbench AI Score
2368
Single Precision Score
974
Half Precision Score
3670
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MULTICORE |
| Upload Date | June 13 2025 08:03 PM |
| Views | 6 |
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% |
1201
223.3 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.7 IPS |
|
|
Image Classification (Q)
|
96% |
2651
495.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1049
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
418
6.78 IPS |
|
|
Image Segmentation (Q)
|
97% |
2046
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12642
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4913
5.73 IPS |
|
|
Pose Estimation (Q)
|
86% |
17627
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1309
103.8 IPS |
|
|
Object Detection (HP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (Q)
|
58% |
2165
236.5 IPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
895
10.6 IPS |
|
|
Face Detection (Q)
|
96% |
5758
68.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5284
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1650
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
8253
65.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21234
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11429
14.7 IPS |
|
|
Style Transfer (Q)
|
87% |
19987
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1300
48.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1412
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1562
57.9 IPS |
|
|
Text Classification (SP)
|
100% |
753
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
366
489.2 IPS |
|
|
Text Classification (Q)
|
97% |
820
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
804
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (Q)
|
68% |
1765
34.1 IPS |
