ASUS System Product Name
Geekbench AI Score
34270
Single Precision Score
45882
Half Precision Score
27156
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MULTICORE |
| Upload Date | June 13 2025 08:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| 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% |
12736
2.37 KIPS |
|
|
Image Classification (HP)
|
99% |
16386
3.06 KIPS |
|
|
Image Classification (Q)
|
100% |
11251
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18566
301.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22974
372.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18213
296.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
297832
347.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
519605
606.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
260916
305.7 IPS |
|
|
Object Detection (SP)
|
100% |
17333
1.37 KIPS |
|
|
Object Detection (HP)
|
100% |
21537
1.71 KIPS |
|
|
Object Detection (Q)
|
86% |
14998
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
44531
529.1 IPS |
|
|
Face Detection (HP)
|
100% |
52401
622.6 IPS |
|
|
Face Detection (Q)
|
97% |
39067
465.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
97177
748.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
155301
1.20 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72273
578.0 IPS |
|
|
Style Transfer (SP)
|
100% |
527783
678.5 IPS |
|
|
Style Transfer (HP)
|
100% |
956190
1.23 KIPS |
|
|
Style Transfer (Q)
|
98% |
455680
587.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54703
2.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69958
2.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42278
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
3774
5.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2054
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4518
77.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4778
82.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2435
45.7 IPS |
