ASUS System Product Name
Geekbench AI Score
34671
Single Precision Score
52076
Half Precision Score
26606
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 18 2026 06:53 PM |
| Views | 5 |
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% |
12872
2.39 KIPS |
|
|
Image Classification (HP)
|
99% |
18388
3.43 KIPS |
|
|
Image Classification (Q)
|
100% |
11151
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25446
412.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
34675
562.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
23306
379.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
256462
299.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
510116
595.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
227255
266.3 IPS |
|
|
Object Detection (SP)
|
100% |
16685
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
24393
1.93 KIPS |
|
|
Object Detection (Q)
|
85% |
14380
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
50906
604.9 IPS |
|
|
Face Detection (HP)
|
100% |
68643
815.6 IPS |
|
|
Face Detection (Q)
|
97% |
43302
516.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
76743
591.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
154010
1.19 KIPS |
|
|
Depth Estimation (Q)
|
78% |
59375
474.2 IPS |
|
|
Style Transfer (SP)
|
100% |
386180
496.4 IPS |
|
|
Style Transfer (HP)
|
100% |
897210
1.15 KIPS |
|
|
Style Transfer (Q)
|
98% |
337612
435.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52874
1.95 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72108
2.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40230
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3481
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
4300
5.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2135
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
6450
111.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6287
108.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2808
52.7 IPS |
