ASUS System Product Name
Geekbench AI Score
35789
Single Precision Score
53992
Half Precision Score
27172
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 06:28 PM |
| Views | 4 |
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% |
13478
2.51 KIPS |
|
|
Image Classification (HP)
|
99% |
19208
3.58 KIPS |
|
|
Image Classification (Q)
|
100% |
11664
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25422
412.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
35245
571.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
23204
377.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
260519
304.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
529931
618.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
230789
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
17464
1.39 KIPS |
|
|
Object Detection (HP)
|
100% |
25599
2.03 KIPS |
|
|
Object Detection (Q)
|
85% |
14954
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
52399
622.6 IPS |
|
|
Face Detection (HP)
|
100% |
70358
836.0 IPS |
|
|
Face Detection (Q)
|
97% |
43180
514.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
78775
606.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
160229
1.24 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60675
484.5 IPS |
|
|
Style Transfer (SP)
|
100% |
398320
512.0 IPS |
|
|
Style Transfer (HP)
|
100% |
937657
1.21 KIPS |
|
|
Style Transfer (Q)
|
98% |
346375
446.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55399
2.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74951
2.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41837
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3650
4.87 KIPS |
|
|
Text Classification (HP)
|
99% |
4454
5.95 KIPS |
|
|
Text Classification (Q)
|
97% |
2230
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
6653
114.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6496
111.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2775
52.1 IPS |
