ASUS System Product Name
Geekbench AI Score
34920
Single Precision Score
52756
Half Precision Score
26626
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 09 2026 04:44 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS TRX50-SAGE WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 7970X |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13166
2.45 KIPS |
|
|
Image Classification (HP)
|
99% |
18954
3.54 KIPS |
|
|
Image Classification (Q)
|
100% |
11361
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25400
411.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
34769
563.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
23213
377.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
254891
297.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
511856
597.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
224180
262.7 IPS |
|
|
Object Detection (SP)
|
100% |
16902
1.34 KIPS |
|
|
Object Detection (HP)
|
100% |
24936
1.98 KIPS |
|
|
Object Detection (Q)
|
85% |
14619
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
51245
608.9 IPS |
|
|
Face Detection (HP)
|
100% |
69732
828.6 IPS |
|
|
Face Detection (Q)
|
97% |
42950
512.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
76882
592.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
154207
1.19 KIPS |
|
|
Depth Estimation (Q)
|
78% |
58697
468.7 IPS |
|
|
Style Transfer (SP)
|
100% |
388210
499.0 IPS |
|
|
Style Transfer (HP)
|
100% |
907763
1.17 KIPS |
|
|
Style Transfer (Q)
|
98% |
339026
437.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53850
1.99 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72979
2.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40579
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
3525
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4347
5.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2171
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
6447
111.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6412
110.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2752
51.6 IPS |
